
###################################################################

 Phrap Assembly QC 



Date:	09-08-2004
Project_id:	3634504
Genus_species:	Deinococcus geothermalis DSM11300
Taxid:	68909
Genome size:	3000
Libraries:	AICY, AICZ, AICX

###################################################################

Taxonomy summary 

Command:	/home/copeland/scripts/tax2tree.sh 3634504

-------------------------------------------------------------------
ID=3634504

Lineage for 'Deinococcus geothermalis':

  Deinococcus geothermalis	species
  Deinococcus	genus
  Deinococcaceae	family
  Deinococcales	order
  Deinococci	class
  Deinococcus-Thermus	phylum
  Bacteria	superkingdom
  cellular organisms	no rank
  root	no rank



###################################################################

Genome size estimates

-------------------------------------------------------------------
# contigs: 3150337
# phrap: 2870349
# db: 3000000
3006895 +/- 114408


###################################################################

Library/Plate summary 

-------------------------------------------------------------------


Number of plates run:	#runs	Pass Rate	Average Read Length
 AICX.5-32		168	 98.49		759.54
 AICY.5-92		194	 94.66		701.79
 AICZ.5-20		32	 98.73		698.78


###################################################################

Run information 

-------------------------------------------------------------------


Library	#Runs	#FW	Pass	Q20s	#RV	Pass	Q20s
AICY	194	97	 93.93	699.38	97	 95.39	704.20
AICZ	32	16	 98.96	711.19	16	 98.50	686.38
AICX	168	84	 98.82	757.35	84	 98.15	761.74


###################################################################

Assembly parameters

 /usr/local/src/assembly/pphrap/pphrap.SUN3.57 3634504_fasta.screen -new_ace  -minmatch 30 -maxmatch 55 -minscore 55 -revise_greedy -max_subclone_size 50000  -vector_bound 20 > phrap.out
/usr/local/src/assembly/pphrap/pxm.SUN3.06OS7 3634504_fasta.screen.contigs /usr/local/sequences/repeats.seq -minmatch 24 -minscore 40 > alu.screen.out
perl /home/copeland/scripts/asseminfo phrap.out > asseminfo.3634504.out
/home/copeland/scripts/librariesInfoTxt.sh 3634504 phrap.out > librariesInfo.txt
/usr/local/src/assembly/pphrap/pphrap.SUN3.57 3634504_fasta.screen -new_ace -view -minmatch 30 -maxmatch 55 -minscore 55 -revise_greedy -max_subclone_size 50000  -vector_bound 20 > phrap.out
/usr/local/src/assembly/pphrap/pxm.SUN3.06OS7 3634504_fasta.screen.contigs /usr/local/sequences/repeats.seq -minmatch 24 -minscore 40 > alu.screen.out
perl /home/copeland/scripts/asseminfo phrap.out > asseminfo.3634504.out
/home/copeland/scripts/librariesInfoTxt.sh 3634504 phrap.out > librariesInfo.txt
/usr/local/src/assembly/pphrap/pphrap.SUN3.57 3634504_fasta.screen -new_ace -view -minmatch 30 -maxmatch 55 -minscore 55 -revise_greedy -max_subclone_size 50000  -vector_bound 20 > phrap.out
/usr/local/src/assembly/pphrap/pxm.SUN3.06OS7 3634504_fasta.screen.contigs /usr/local/sequences/repeats.seq -minmatch 24 -minscore 40 > alu.screen.out
perl /home/copeland/scripts/asseminfo phrap.out > asseminfo.3634504.out
/home/copeland/scripts/librariesInfoTxt.sh 3634504 phrap.out > librariesInfo.txt

###################################################################

Library vector screening

 AICX.000001.000100
screen.out.1 3634504_fasta.screen /tmp/pUC18.fa.4
screen.out.std 3634504_fasta.screen /sequences/LRS.fasta

AICY.000001.000100
screen.out.1 3634504_fasta.screen /tmp/pMCL200.fa.4
screen.out.std 3634504_fasta.screen /sequences/LRS.fasta

AICY.000101.000200
screen.out.1 3634504_fasta.screen /tmp/pMCL200.fa.4
screen.out.std 3634504_fasta.screen /sequences/LRS.fasta

AICZ.000001.000100
screen.out.1 3634504_fasta.screen /tmp/pCC1Fos.fa.4
screen.out.std 3634504_fasta.screen /usr/local/sequences/LRS.fasta

AICX.000001.000100
screen.out.1 3634504_fasta.screen /tmp/pUC18.fa.4
screen.out.std 3634504_fasta.screen /sequences/LRS.fasta

AICY.000001.000100
screen.out.1 3634504_fasta.screen /tmp/pMCL200.fa.4
screen.out.std 3634504_fasta.screen /sequences/LRS.fasta

AICY.000101.000200
screen.out.1 3634504_fasta.screen /tmp/pMCL200.fa.4
screen.out.std 3634504_fasta.screen /sequences/LRS.fasta

AICZ.000001.000100
screen.out.1 3634504_fasta.screen /tmp/pCC1Fos.fa.4
screen.out.std 3634504_fasta.screen /usr/local/sequences/LRS.fasta



###################################################################

JAZZ trim 15 readlength histogram 

Command:	/home/copeland/scripts/histogram2.pl 3634504_fasta.screen.screen.ids 2 50
-------------------------------------------------------------------

#Found 1939 total values totalling 1472602.0000. <759.464673 +/- 128.578142>
#Range: [  - 920 ]
#Most likely bin: [ 800 - 850 ] 687 counts
#Median bin: [ 750 - 800 ] 607 counts
|                                         0 - 50 : [ 6 0.00 0.00 ]
|                                         50 - 100 : [ 4 0.00 0.01 ]
|                                         100 - 150 : [ 5 0.00 0.01 ]
|X                                        150 - 200 : [ 10 0.01 0.01 ]
|                                         200 - 250 : [ 6 0.00 0.02 ]
|X                                        250 - 300 : [ 11 0.01 0.02 ]
|X                                        300 - 350 : [ 13 0.01 0.03 ]
|X                                        350 - 400 : [ 18 0.01 0.04 ]
|X                                        400 - 450 : [ 18 0.01 0.05 ]
|X                                        450 - 500 : [ 23 0.01 0.06 ]
|X                                        500 - 550 : [ 17 0.01 0.07 ]
|XX                                       550 - 600 : [ 26 0.01 0.08 ]
|XX                                       600 - 650 : [ 27 0.01 0.09 ]
|XXXXX                                    650 - 700 : [ 81 0.04 0.14 ]
|XXXXXXXXXXX                              700 - 750 : [ 193 0.10 0.24 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX      750 - 800 : [ 607 0.31 0.55 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 800 - 850 : [ 687 0.35 0.90 ]
|XXXXXXXXXXX                              850 - 900 : [ 184 0.09 1.00 ]
|                                         900 - 950 : [ 3 0.00 1.00 ]

JAZZ trim 15 readlength histogram for AICX
Command: /usr/xpg4/bin/grep AICX 3634504_fasta.screen.screen.ids > reads.trim15.AICX.rl
Command: /home/copeland/scripts/histogram2.pl reads.trim15.AICX.rl 2 50

#Found 1939 total values totalling 1472602.0000. <759.464673 +/- 128.578142>
#Range: [  - 920 ]
#Most likely bin: [ 800 - 850 ] 687 counts
#Median bin: [ 750 - 800 ] 607 counts
|                                         0 - 50 : [ 6 0.00 0.00 ]
|                                         50 - 100 : [ 4 0.00 0.01 ]
|                                         100 - 150 : [ 5 0.00 0.01 ]
|X                                        150 - 200 : [ 10 0.01 0.01 ]
|                                         200 - 250 : [ 6 0.00 0.02 ]
|X                                        250 - 300 : [ 11 0.01 0.02 ]
|X                                        300 - 350 : [ 13 0.01 0.03 ]
|X                                        350 - 400 : [ 18 0.01 0.04 ]
|X                                        400 - 450 : [ 18 0.01 0.05 ]
|X                                        450 - 500 : [ 23 0.01 0.06 ]
|X                                        500 - 550 : [ 17 0.01 0.07 ]
|XX                                       550 - 600 : [ 26 0.01 0.08 ]
|XX                                       600 - 650 : [ 27 0.01 0.09 ]
|XXXXX                                    650 - 700 : [ 81 0.04 0.14 ]
|XXXXXXXXXXX                              700 - 750 : [ 193 0.10 0.24 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX      750 - 800 : [ 607 0.31 0.55 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 800 - 850 : [ 687 0.35 0.90 ]
|XXXXXXXXXXX                              850 - 900 : [ 184 0.09 1.00 ]
|                                         900 - 950 : [ 3 0.00 1.00 ]

JAZZ trim 15 readlength histogram for AICY
JAZZ trim 15 readlength histogram for AICZ



###################################################################

GC content histogram 

Command: /bin/nawk '{print $5+$6}' GC.3634504_fasta.screen.trimQ20 | /home/copeland/scripts/histogram2.pl - 1 0.005

 -------------------------------------------------------------------

# GC.3634504_fasta.screen.trimQ20 | nawk 'NR>1 {print $5+$6}' | /home/jchapman/perlscripts/histogram2.pl - 1 0.005
#Found 34807 total values totalling 23104.0795. <0.663777 +/- 0.038602>
#Range: [ 0.3913 - 0.8824 ]
#Most likely bin: [ 0.67 - 0.675 ] 2032 counts
#Median bin: [ 0.665 - 0.67 ] 1993 counts
|                                         0.39 - 0.395 : [ 3 0.00 0.00 ]
#...
|                                         0.4 - 0.405 : [ 1 0.00 0.00 ]
#...
|                                         0.41 - 0.415 : [ 1 0.00 0.00 ]
|                                         0.415 - 0.42 : [ 4 0.00 0.00 ]
|                                         0.42 - 0.425 : [ 4 0.00 0.00 ]
|                                         0.425 - 0.43 : [ 6 0.00 0.00 ]
|                                         0.43 - 0.435 : [ 4 0.00 0.00 ]
|                                         0.435 - 0.44 : [ 4 0.00 0.00 ]
|                                         0.44 - 0.445 : [ 1 0.00 0.00 ]
|                                         0.445 - 0.45 : [ 2 0.00 0.00 ]
|                                         0.45 - 0.455 : [ 3 0.00 0.00 ]
|                                         0.455 - 0.46 : [ 2 0.00 0.00 ]
|                                         0.46 - 0.465 : [ 5 0.00 0.00 ]
|                                         0.465 - 0.47 : [ 3 0.00 0.00 ]
|                                         0.47 - 0.475 : [ 2 0.00 0.00 ]
|                                         0.475 - 0.48 : [ 6 0.00 0.00 ]
|                                         0.48 - 0.485 : [ 11 0.00 0.00 ]
|                                         0.485 - 0.49 : [ 13 0.00 0.00 ]
|                                         0.49 - 0.495 : [ 11 0.00 0.00 ]
|                                         0.495 - 0.5 : [ 13 0.00 0.00 ]
|                                         0.5 - 0.505 : [ 24 0.00 0.00 ]
|                                         0.505 - 0.51 : [ 16 0.00 0.00 ]
|                                         0.51 - 0.515 : [ 25 0.00 0.00 ]
|                                         0.515 - 0.52 : [ 22 0.00 0.01 ]
|                                         0.52 - 0.525 : [ 21 0.00 0.01 ]
|X                                        0.525 - 0.53 : [ 30 0.00 0.01 ]
|X                                        0.53 - 0.535 : [ 29 0.00 0.01 ]
|X                                        0.535 - 0.54 : [ 28 0.00 0.01 ]
|X                                        0.54 - 0.545 : [ 41 0.00 0.01 ]
|X                                        0.545 - 0.55 : [ 31 0.00 0.01 ]
|X                                        0.55 - 0.555 : [ 43 0.00 0.01 ]
|X                                        0.555 - 0.56 : [ 75 0.00 0.01 ]
|X                                        0.56 - 0.565 : [ 67 0.00 0.02 ]
|XX                                       0.565 - 0.57 : [ 108 0.00 0.02 ]
|XX                                       0.57 - 0.575 : [ 125 0.00 0.02 ]
|XX                                       0.575 - 0.58 : [ 122 0.00 0.03 ]
|XXX                                      0.58 - 0.585 : [ 147 0.00 0.03 ]
|XXXX                                     0.585 - 0.59 : [ 187 0.01 0.04 ]
|XXXXX                                    0.59 - 0.595 : [ 238 0.01 0.04 ]
|XXXXX                                    0.595 - 0.6 : [ 276 0.01 0.05 ]
|XXXXXXX                                  0.6 - 0.605 : [ 363 0.01 0.06 ]
|XXXXXXXXX                                0.605 - 0.61 : [ 442 0.01 0.07 ]
|XXXXXXXXXXX                              0.61 - 0.615 : [ 550 0.02 0.09 ]
|XXXXXXXXXXXXXX                           0.615 - 0.62 : [ 690 0.02 0.11 ]
|XXXXXXXXXXXXXXXX                         0.62 - 0.625 : [ 796 0.02 0.13 ]
|XXXXXXXXXXXXXXXXXXXX                     0.625 - 0.63 : [ 1018 0.03 0.16 ]
|XXXXXXXXXXXXXXXXXXXXXX                   0.63 - 0.635 : [ 1103 0.03 0.19 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXX               0.635 - 0.64 : [ 1322 0.04 0.23 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX           0.64 - 0.645 : [ 1526 0.04 0.27 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX         0.645 - 0.65 : [ 1638 0.05 0.32 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX      0.65 - 0.655 : [ 1772 0.05 0.37 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX     0.655 - 0.66 : [ 1846 0.05 0.43 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX   0.66 - 0.665 : [ 1927 0.06 0.48 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX  0.665 - 0.67 : [ 1993 0.06 0.54 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 0.67 - 0.675 : [ 2032 0.06 0.60 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX  0.675 - 0.68 : [ 1962 0.06 0.65 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX    0.68 - 0.685 : [ 1874 0.05 0.71 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX       0.685 - 0.69 : [ 1728 0.05 0.76 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX           0.69 - 0.695 : [ 1548 0.04 0.80 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXX             0.695 - 0.7 : [ 1437 0.04 0.84 ]
|XXXXXXXXXXXXXXXXXXXXXXXX                 0.7 - 0.705 : [ 1235 0.04 0.88 ]
|XXXXXXXXXXXXXXXXXXXXX                    0.705 - 0.71 : [ 1084 0.03 0.91 ]
|XXXXXXXXXXXXXXXXX                        0.71 - 0.715 : [ 839 0.02 0.93 ]
|XXXXXXXXXXXXX                            0.715 - 0.72 : [ 670 0.02 0.95 ]
|XXXXXXXXXX                               0.72 - 0.725 : [ 533 0.02 0.97 ]
|XXXXXXX                                  0.725 - 0.73 : [ 335 0.01 0.98 ]
|XXXX                                     0.73 - 0.735 : [ 204 0.01 0.98 ]
|XXX                                      0.735 - 0.74 : [ 172 0.00 0.99 ]
|XX                                       0.74 - 0.745 : [ 118 0.00 0.99 ]
|XX                                       0.745 - 0.75 : [ 94 0.00 0.99 ]
|X                                        0.75 - 0.755 : [ 56 0.00 1.00 ]
|X                                        0.755 - 0.76 : [ 42 0.00 1.00 ]
|                                         0.76 - 0.765 : [ 25 0.00 1.00 ]
|                                         0.765 - 0.77 : [ 23 0.00 1.00 ]
|                                         0.77 - 0.775 : [ 11 0.00 1.00 ]
|                                         0.775 - 0.78 : [ 12 0.00 1.00 ]
|                                         0.78 - 0.785 : [ 11 0.00 1.00 ]
|                                         0.785 - 0.79 : [ 4 0.00 1.00 ]
|                                         0.79 - 0.795 : [ 4 0.00 1.00 ]
|                                         0.795 - 0.8 : [ 2 0.00 1.00 ]
|                                         0.8 - 0.805 : [ 2 0.00 1.00 ]
|                                         0.805 - 0.81 : [ 3 0.00 1.00 ]
|                                         0.81 - 0.815 : [ 2 0.00 1.00 ]
|                                         0.815 - 0.82 : [ 1 0.00 1.00 ]
|                                         0.82 - 0.825 : [ 2 0.00 1.00 ]
#...
|                                         0.83 - 0.835 : [ 1 0.00 1.00 ]
#...
|                                         0.88 - 0.885 : [ 1 0.00 1.00 ]

###################################################################

reads2plates summary 


plate(s)        reads           clones                  LIBRARY @


]		34919		17493	90.64		cumulative total @@

Only indicates plates present in input file.
Make no assumption regarding plates (not) present in project that do not appear above.


###################################################################

Reads in assembly summary

Small Inserts = 1


HQ Discrepant reads = 39


Chimeric reads = 164


Suspect alignments = 2687

###################################################################


C O N T I G   I N F O R M A T I O N

Mon Sep  6 02:10:30 2004
File: /psf/project/microbe3/3634504/edit_dir.07Apr04.QD/phrap.out

Contig  86.  139 reads;  22692 bp (untrimmed),  22439 (trimmed).
Contig  87.  143 reads;  21932 bp (untrimmed),  21368 (trimmed).
Contig  88.  170 reads;  30336 bp (untrimmed),  30188 (trimmed).
Contig  89.  199 reads;  34649 bp (untrimmed),  34376 (trimmed).
Contig  90.  228 reads;  29841 bp (untrimmed),  29802 (trimmed).
Contig  91.  236 reads;  36046 bp (untrimmed),  35805 (trimmed).
Contig  92.  237 reads;  21339 bp (untrimmed),  21289 (trimmed).
Contig  93.  245 reads;  38936 bp (untrimmed),  38928 (trimmed).
Contig  94.  270 reads;  30022 bp (untrimmed),  29877 (trimmed).
Contig  95.  300 reads;  29308 bp (untrimmed),  29285 (trimmed).
Contig  96.  311 reads;  50708 bp (untrimmed),  50688 (trimmed).
Contig  97.  341 reads;  32048 bp (untrimmed),  31891 (trimmed).
Contig  98.  344 reads;  34052 bp (untrimmed),  34011 (trimmed).
Contig  99.  388 reads;  40071 bp (untrimmed),  40051 (trimmed).
Contig 100.  499 reads;  70582 bp (untrimmed),  70524 (trimmed).
Contig 101.  751 reads;  64298 bp (untrimmed),  64178 (trimmed).
Contig 102.  937 reads;  89222 bp (untrimmed),  89202 (trimmed).
Contig 103.  992 reads;  72583 bp (untrimmed),  72530 (trimmed).
Contig 104. 1390 reads; 110817 bp (untrimmed), 110792 (trimmed).
Contig 105. 1520 reads; 117209 bp (untrimmed), 117175 (trimmed).
Contig 106. 2102 reads; 158365 bp (untrimmed), 158245 (trimmed).
Contig 107. 2628 reads; 175822 bp (untrimmed), 175814 (trimmed).
Contig 108. 2794 reads; 228710 bp (untrimmed), 228684 (trimmed).
Contig 109. 3478 reads; 278606 bp (untrimmed), 278544 (trimmed).
Contig 110. 3697 reads; 289255 bp (untrimmed), 289224 (trimmed).
Contig 111. 3973 reads; 317038 bp (untrimmed), 316875 (trimmed).
Contig 112. 5049 reads; 421330 bp (untrimmed), 421243 (trimmed).
--------------------------------------------------------------
Totals      34860 reads; 3164085 bp (untrimmed), 3150337 (trimmed).


###################################################################

Histogram of Good Contig Trimmed Length (>=2000 bp & >=10 reads)
-------------------------------------------------------------------

Command:	contig | grep '^Contig' | hist - 8 2000 3 10 10000000 8 2000 10000000

Total Good Ctgs:

Total Size Good Ctgs:


#Found 51 total values totalling 3039954.0000. <59606.941176 +/- 92022.714128>
#Range: [ 2345 - 421243 ]
#Most likely bin: [ 2000 - 4000 ] 5 counts
#Median bin: [ 20000 - 22000 ] 2 counts
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 2000 - 4000 : [ 5 0.10 0.10 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX         4000 - 6000 : [ 4 0.08 0.18 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 6000 - 8000 : [ 5 0.10 0.27 ]
|XXXXXXXXXXXXXXXXXXXXXXXX                 8000 - 10000 : [ 3 0.06 0.33 ]
|XXXXXXXXXXXXXXXX                         10000 - 12000 : [ 2 0.04 0.37 ]
|XXXXXXXXXXXXXXXX                         12000 - 14000 : [ 2 0.04 0.41 ]
|XXXXXXXX                                 14000 - 16000 : [ 1 0.02 0.43 ]
#...
|XXXXXXXXXXXXXXXX                         18000 - 20000 : [ 2 0.04 0.47 ]
|XXXXXXXXXXXXXXXX                         20000 - 22000 : [ 2 0.04 0.51 ]
|XXXXXXXX                                 22000 - 24000 : [ 1 0.02 0.53 ]
#...
|XXXXXXXXXXXXXXXXXXXXXXXX                 28000 - 30000 : [ 3 0.06 0.59 ]
|XXXXXXXXXXXXXXXX                         30000 - 32000 : [ 2 0.04 0.63 ]
#...
|XXXXXXXXXXXXXXXXXXXXXXXX                 34000 - 36000 : [ 3 0.06 0.69 ]
#...
|XXXXXXXX                                 38000 - 40000 : [ 1 0.02 0.71 ]
|XXXXXXXX                                 40000 - 42000 : [ 1 0.02 0.73 ]
#...
|XXXXXXXX                                 50000 - 52000 : [ 1 0.02 0.75 ]
#...
|XXXXXXXX                                 64000 - 66000 : [ 1 0.02 0.76 ]
#...
|XXXXXXXX                                 70000 - 72000 : [ 1 0.02 0.78 ]
|XXXXXXXX                                 72000 - 74000 : [ 1 0.02 0.80 ]
#...
|XXXXXXXX                                 88000 - 90000 : [ 1 0.02 0.82 ]
#...
|XXXXXXXX                                 110000 - 112000 : [ 1 0.02 0.84 ]
#...
|XXXXXXXX                                 116000 - 118000 : [ 1 0.02 0.86 ]
#...
|XXXXXXXX                                 158000 - 160000 : [ 1 0.02 0.88 ]
#...
|XXXXXXXX                                 174000 - 176000 : [ 1 0.02 0.90 ]
#...
|XXXXXXXX                                 228000 - 230000 : [ 1 0.02 0.92 ]
#...
|XXXXXXXX                                 278000 - 280000 : [ 1 0.02 0.94 ]
#...
|XXXXXXXX                                 288000 - 290000 : [ 1 0.02 0.96 ]
#...
|XXXXXXXX                                 316000 - 318000 : [ 1 0.02 0.98 ]
#...
|XXXXXXXX                                 420000 - 422000 : [ 1 0.02 1.00 ]


###################################################################
Base Count for Project:
-------------------------------------------------------------------

A = 5610556
C = 10938887
G = 10928493
T = 5701045
N = 145942
X = 372419
GC fraction = 0.65
Total = 33697342


###################################################################
Base Count for contigs:
-------------------------------------------------------------------

3634504_fasta.screen.contigs
A   527423
C   1051876
G   1049776
N   45
T   534928
X   37
fraction GC = 0.66
total bases = 3164085



###################################################################

Depth Summary:
-------------------------------------------------------------------

depth.out contains 3046604 bases <depth> = 10.44 +- 4.61  <skew> = 0.15 +- 3.70  m1 = 2.03  m2 = 1.88


###################################################################

Histogram of All Contig Depth Values:

Command:	/home/copeland/scripts/histogram2.pl depth.out 9 0.5
-------------------------------------------------------------------

#Found 51 total values totalling 364.2500. <7.142157 +/- 3.056013>
#Range: [ 2.17 - 13.68 ]
#Most likely bin: [ 5.5 - 6 ] 6 counts
#Median bin: [ 5.5 - 6 ] 6 counts
|XXXXXXXXXXXXXXXXXXXX                     2 - 2.5 : [ 3 0.06 0.06 ]
|XXXXXXX                                  2.5 - 3 : [ 1 0.02 0.08 ]
#...
|XXXXXXXXXXXXXXXXXXXXXXXXXXX              4 - 4.5 : [ 4 0.08 0.16 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 4.5 - 5 : [ 6 0.12 0.27 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 5 - 5.5 : [ 6 0.12 0.39 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 5.5 - 6 : [ 6 0.12 0.51 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXX              6 - 6.5 : [ 4 0.08 0.59 ]
|XXXXXXX                                  6.5 - 7 : [ 1 0.02 0.61 ]
|XXXXXXX                                  7 - 7.5 : [ 1 0.02 0.63 ]
#...
|XXXXXXXXXXXXX                            8 - 8.5 : [ 2 0.04 0.67 ]
|XXXXXXX                                  8.5 - 9 : [ 1 0.02 0.69 ]
|XXXXXXXXXXXXX                            9 - 9.5 : [ 2 0.04 0.73 ]
|XXXXXXXXXXXXX                            9.5 - 10 : [ 2 0.04 0.76 ]
|XXXXXXX                                  10 - 10.5 : [ 1 0.02 0.78 ]
|XXXXXXX                                  10.5 - 11 : [ 1 0.02 0.80 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXX              11 - 11.5 : [ 4 0.08 0.88 ]
|XXXXXXXXXXXXXXXXXXXX                     11.5 - 12 : [ 3 0.06 0.94 ]
|XXXXXXX                                  12 - 12.5 : [ 1 0.02 0.96 ]
|XXXXXXX                                  12.5 - 13 : [ 1 0.02 0.98 ]
#...
|XXXXXXX                                  13.5 - 14 : [ 1 0.02 1.00 ]


Histogram of Major Contig Depth Values:

Command:	/home/copeland/scripts/histogram2.pl depth.out 9 0.5 3 10 10000000 5 2000 10000000

#Found 51 total values totalling 364.2500. <7.142157 +/- 3.056013>
#Range: [ 2.17 - 13.68 ]
#Most likely bin: [ 5.5 - 6 ] 6 counts
#Median bin: [ 5.5 - 6 ] 6 counts
|XXXXXXXXXXXXXXXXXXXX                     2 - 2.5 : [ 3 0.06 0.06 ]
|XXXXXXX                                  2.5 - 3 : [ 1 0.02 0.08 ]
#...
|XXXXXXXXXXXXXXXXXXXXXXXXXXX              4 - 4.5 : [ 4 0.08 0.16 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 4.5 - 5 : [ 6 0.12 0.27 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 5 - 5.5 : [ 6 0.12 0.39 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 5.5 - 6 : [ 6 0.12 0.51 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXX              6 - 6.5 : [ 4 0.08 0.59 ]
|XXXXXXX                                  6.5 - 7 : [ 1 0.02 0.61 ]
|XXXXXXX                                  7 - 7.5 : [ 1 0.02 0.63 ]
#...
|XXXXXXXXXXXXX                            8 - 8.5 : [ 2 0.04 0.67 ]
|XXXXXXX                                  8.5 - 9 : [ 1 0.02 0.69 ]
|XXXXXXXXXXXXX                            9 - 9.5 : [ 2 0.04 0.73 ]
|XXXXXXXXXXXXX                            9.5 - 10 : [ 2 0.04 0.76 ]
|XXXXXXX                                  10 - 10.5 : [ 1 0.02 0.78 ]
|XXXXXXX                                  10.5 - 11 : [ 1 0.02 0.80 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXX              11 - 11.5 : [ 4 0.08 0.88 ]
|XXXXXXXXXXXXXXXXXXXX                     11.5 - 12 : [ 3 0.06 0.94 ]
|XXXXXXX                                  12 - 12.5 : [ 1 0.02 0.96 ]
|XXXXXXX                                  12.5 - 13 : [ 1 0.02 0.98 ]
#...
|XXXXXXX                                  13.5 - 14 : [ 1 0.02 1.00 ]


###################################################################

Sorted Depth Values:
-------------------------------------------------------------------

Contig 95 11 reads 4808 bases	<depth> = 2.17 +- 0.84  <skew> = 0.17 +- 1.19  m1 = 0.32  m2 = -0.18
Contig 99 14 reads 5538 bases	<depth> = 2.32 +- 1.20  <skew> = 0.32 +- 1.47  m1 = 0.62  m2 = -0.18
Contig 101 19 reads 7128 bases	<depth> = 2.47 +- 1.00  <skew> = 0.11 +- 1.56  m1 = 0.40  m2 = -0.36
Contig 96 12 reads 3807 bases	<depth> = 2.96 +- 1.08  <skew> = 1.07 +- 1.53  m1 = 0.39  m2 = -0.29
Contig 108 31 reads 6827 bases	<depth> = 4.13 +- 2.22  <skew> = -0.01 +- 1.77  m1 = 1.19  m2 = 0.45
Contig 106 29 reads 6085 bases	<depth> = 4.21 +- 2.03  <skew> = 1.28 +- 1.78  m1 = 0.98  m2 = 0.23
Contig 107 30 reads 6369 bases	<depth> = 4.21 +- 1.80  <skew> = 0.21 +- 2.81  m1 = 0.77  m2 = -1.16
Contig 97 13 reads 2773 bases	<depth> = 4.38 +- 1.72  <skew> = 1.65 +- 1.47  m1 = 0.67  m2 = 0.20
Contig 104 26 reads 5205 bases	<depth> = 4.56 +- 2.72  <skew> = 0.48 +- 1.94  m1 = 1.62  m2 = 0.90
Contig 110 41 reads 8048 bases	<depth> = 4.69 +- 1.32  <skew> = 0.53 +- 2.09  m1 = 0.37  m2 = -0.65
Contig 111 45 reads 8418 bases	<depth> = 4.89 +- 2.10  <skew> = 0.93 +- 2.72  m1 = 0.90  m2 = -0.74
Contig 102 21 reads 3877 bases	<depth> = 4.93 +- 2.13  <skew> = 1.18 +- 1.54  m1 = 0.92  m2 = 0.53
Contig 116 77 reads 14018 bases	<depth> = 4.94 +- 2.43  <skew> = 0.30 +- 2.61  m1 = 1.19  m2 = -0.23
Contig 120 110 reads 18477 bases	<depth> = 4.98 +- 1.91  <skew> = 0.35 +- 2.39  m1 = 0.73  m2 = -0.51
Contig 112 45 reads 8076 bases	<depth> = 5.16 +- 1.74  <skew> = 0.30 +- 1.75  m1 = 0.59  m2 = -0.01
Contig 103 25 reads 4291 bases	<depth> = 5.27 +- 1.91  <skew> = 0.23 +- 2.46  m1 = 0.69  m2 = -0.60
Contig 124 171 reads 30277 bases	<depth> = 5.28 +- 2.63  <skew> = 0.06 +- 2.37  m1 = 1.31  m2 = 0.33
Contig 119 91 reads 15814 bases	<depth> = 5.29 +- 2.32  <skew> = 0.59 +- 2.38  m1 = 1.01  m2 = -0.07
Contig 125 199 reads 34649 bases	<depth> = 5.32 +- 2.23  <skew> = 0.27 +- 2.37  m1 = 0.93  m2 = -0.16
Contig 98 14 reads 2447 bases	<depth> = 5.37 +- 2.26  <skew> = 4.62 +- 2.35  m1 = 0.95  m2 = -0.10


Contig 126 229 reads 29841 bases	<depth> = 7.05 +- 2.96  <skew> = 0.64 +- 3.28  m1 = 1.25  m2 = -0.49
Contig 118 89 reads 10163 bases	<depth> = 8.09 +- 3.55  <skew> = 1.42 +- 3.92  m1 = 1.56  m2 = -0.70
Contig 130 274 reads 30022 bases	<depth> = 8.33 +- 3.40  <skew> = 0.42 +- 2.76  m1 = 1.39  m2 = 0.99
Contig 135 390 reads 40071 bases	<depth> = 8.90 +- 3.29  <skew> = 0.64 +- 3.28  m1 = 1.22  m2 = 0.02
Contig 134 347 reads 34052 bases	<depth> = 9.37 +- 3.62  <skew> = 0.16 +- 3.38  m1 = 1.40  m2 = 0.42
Contig 131 304 reads 29308 bases	<depth> = 9.46 +- 3.90  <skew> = 0.22 +- 4.11  m1 = 1.61  m2 = -0.42
Contig 138 943 reads 89222 bases	<depth> = 9.69 +- 3.65  <skew> = 0.34 +- 3.30  m1 = 1.37  m2 = 0.61
Contig 133 344 reads 32048 bases	<depth> = 9.74 +- 4.49  <skew> = 0.37 +- 3.09  m1 = 2.07  m2 = 2.65
Contig 128 239 reads 21339 bases	<depth> = 10.24 +- 4.07  <skew> = 0.70 +- 4.13  m1 = 1.62  m2 = -0.12
Contig 137 760 reads 64298 bases	<depth> = 10.81 +- 4.59  <skew> = 0.28 +- 4.09  m1 = 1.95  m2 = 1.09
Contig 148 5083 reads 421330 bases	<depth> = 11.07 +- 3.97  <skew> = 0.08 +- 3.68  m1 = 1.42  m2 = 0.56
Contig 144 2816 reads 228710 bases	<depth> = 11.27 +- 4.94  <skew> = 0.03 +- 3.85  m1 = 2.16  m2 = 2.39
Contig 140 1397 reads 110817 bases	<depth> = 11.44 +- 3.58  <skew> = 0.09 +- 3.49  m1 = 1.12  m2 = 0.17
Contig 145 3507 reads 278606 bases	<depth> = 11.44 +- 3.77  <skew> = -0.01 +- 4.10  m1 = 1.25  m2 = -0.65
Contig 147 4038 reads 317038 bases	<depth> = 11.69 +- 4.64  <skew> = 0.08 +- 4.07  m1 = 1.84  m2 = 1.23
Contig 146 3733 reads 289255 bases	<depth> = 11.80 +- 3.89  <skew> = 0.09 +- 3.92  m1 = 1.28  m2 = -0.05
Contig 141 1536 reads 117208 bases	<depth> = 11.97 +- 4.22  <skew> = -0.09 +- 3.89  m1 = 1.49  m2 = 0.68
Contig 142 2123 reads 158365 bases	<depth> = 12.21 +- 4.07  <skew> = 0.08 +- 4.25  m1 = 1.36  m2 = -0.38
Contig 139 1000 reads 72583 bases	<depth> = 12.69 +- 4.56  <skew> = 0.22 +- 3.96  m1 = 1.64  m2 = 1.28
Contig 143 2649 reads 175822 bases	<depth> = 13.68 +- 4.39  <skew> = 0.06 +- 4.34  m1 = 1.41  m2 = 0.11


###################################################################
Histogram of Number of Reads per Contig:

Command:	hist contig.grep 3 1
-------------------------------------------------------------------

#Found 112 total values totalling 34860.0000. <311.250000 +/- 862.440614>
#Range: [ 1 - 5049 ]
#Most likely bin: [ 4 - 5 ] 14 counts
#Median bin: [ 8 - 9 ] 3 counts
|XXXXXX                                   1 - 2 : [ 2 0.02 0.02 ]
#...
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX          3 - 4 : [ 11 0.10 0.12 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 4 - 5 : [ 14 0.12 0.24 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX       5 - 6 : [ 12 0.11 0.35 ]
|XXXXXXXXXXXXXXXXXXXXXXX                  6 - 7 : [ 8 0.07 0.42 ]
|XXXXXXXXXXXXXXXXX                        7 - 8 : [ 6 0.05 0.47 ]
|XXXXXXXXX                                8 - 9 : [ 3 0.03 0.50 ]
|XXXXXXXXXXX                              9 - 10 : [ 4 0.04 0.54 ]
|XXX                                      10 - 11 : [ 1 0.01 0.54 ]
#...
|XXX                                      12 - 13 : [ 1 0.01 0.55 ]
|XXX                                      13 - 14 : [ 1 0.01 0.56 ]
|XXXXXX                                   14 - 15 : [ 2 0.02 0.58 ]
#...
|XXX                                      18 - 19 : [ 1 0.01 0.59 ]
#...
|XXX                                      21 - 22 : [ 1 0.01 0.60 ]
#...
|XXXXXX                                   25 - 26 : [ 2 0.02 0.62 ]
#...
|XXX                                      28 - 29 : [ 1 0.01 0.62 ]
|XXX                                      29 - 30 : [ 1 0.01 0.63 ]
#...
|XXX                                      31 - 32 : [ 1 0.01 0.64 ]
#...
|XXX                                      39 - 40 : [ 1 0.01 0.65 ]
#...
|XXX                                      41 - 42 : [ 1 0.01 0.66 ]
#...
|XXX                                      44 - 45 : [ 1 0.01 0.67 ]
|XXX                                      45 - 46 : [ 1 0.01 0.68 ]
#...
|XXX                                      47 - 48 : [ 1 0.01 0.69 ]
#...
|XXX                                      59 - 60 : [ 1 0.01 0.70 ]
#...
|XXX                                      68 - 69 : [ 1 0.01 0.71 ]
#...
|XXX                                      84 - 85 : [ 1 0.01 0.71 ]
#...
|XXX                                      89 - 90 : [ 1 0.01 0.72 ]
|XXX                                      90 - 91 : [ 1 0.01 0.73 ]
#...
|XXX                                      109 - 110 : [ 1 0.01 0.74 ]
#...
|XXX                                      120 - 121 : [ 1 0.01 0.75 ]
#...
|XXX                                      123 - 124 : [ 1 0.01 0.76 ]
#...
|XXX                                      139 - 140 : [ 1 0.01 0.77 ]
#...
|XXX                                      143 - 144 : [ 1 0.01 0.78 ]
#...
|XXX                                      170 - 171 : [ 1 0.01 0.79 ]
#...
|XXX                                      199 - 200 : [ 1 0.01 0.79 ]
#...
|XXX                                      228 - 229 : [ 1 0.01 0.80 ]
#...
|XXX                                      236 - 237 : [ 1 0.01 0.81 ]
|XXX                                      237 - 238 : [ 1 0.01 0.82 ]
#...
|XXX                                      245 - 246 : [ 1 0.01 0.83 ]
#...
|XXX                                      270 - 271 : [ 1 0.01 0.84 ]
#...
|XXX                                      300 - 301 : [ 1 0.01 0.85 ]
#...
|XXX                                      311 - 312 : [ 1 0.01 0.86 ]
#...
|XXX                                      341 - 342 : [ 1 0.01 0.87 ]
#...
|XXX                                      344 - 345 : [ 1 0.01 0.88 ]
#...
|XXX                                      388 - 389 : [ 1 0.01 0.88 ]
#...
|XXX                                      499 - 500 : [ 1 0.01 0.89 ]
#...
|XXX                                      751 - 752 : [ 1 0.01 0.90 ]
#...
|XXX                                      937 - 938 : [ 1 0.01 0.91 ]
#...
|XXX                                      992 - 993 : [ 1 0.01 0.92 ]
#...
|XXX                                      1390 - 1391 : [ 1 0.01 0.93 ]
#...
|XXX                                      1520 - 1521 : [ 1 0.01 0.94 ]
#...
|XXX                                      2102 - 2103 : [ 1 0.01 0.95 ]
#...
|XXX                                      2628 - 2629 : [ 1 0.01 0.96 ]
#...
|XXX                                      2794 - 2795 : [ 1 0.01 0.96 ]
#...
|XXX                                      3478 - 3479 : [ 1 0.01 0.97 ]
#...
|XXX                                      3697 - 3698 : [ 1 0.01 0.98 ]
#...
|XXX                                      3973 - 3974 : [ 1 0.01 0.99 ]
#...
|XXX                                      5049 - 5050 : [ 1 0.01 1.00 ]


###################################################################

Histogram of Contig Size Distribution:
-------------------------------------------------------------------

Command:	hist contig.grep 5 1000

#Found 112 total values totalling 3164085.0000. <28250.758929 +/- 68428.842116>
#Range: [ 230 - 421330 ]
#Most likely bin: [ 1000 - 2000 ] 28 counts
#Median bin: [ 2000 - 3000 ] 26 counts
|XXXXXXXXX                                0 - 1000 : [ 6 0.05 0.05 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 1000 - 2000 : [ 28 0.25 0.30 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX    2000 - 3000 : [ 26 0.23 0.54 ]
|XXXXXX                                   3000 - 4000 : [ 4 0.04 0.57 ]
|XXXX                                     4000 - 5000 : [ 3 0.03 0.60 ]
|XXX                                      5000 - 6000 : [ 2 0.02 0.62 ]
|XXXXXX                                   6000 - 7000 : [ 4 0.04 0.65 ]
|X                                        7000 - 8000 : [ 1 0.01 0.66 ]
|XXXX                                     8000 - 9000 : [ 3 0.03 0.69 ]
|X                                        9000 - 10000 : [ 1 0.01 0.70 ]
|X                                        10000 - 11000 : [ 1 0.01 0.71 ]
|X                                        11000 - 12000 : [ 1 0.01 0.71 ]
|X                                        12000 - 13000 : [ 1 0.01 0.72 ]
#...
|X                                        14000 - 15000 : [ 1 0.01 0.73 ]
|X                                        15000 - 16000 : [ 1 0.01 0.74 ]
#...
|X                                        18000 - 19000 : [ 1 0.01 0.75 ]
|X                                        19000 - 20000 : [ 1 0.01 0.76 ]
#...
|XXX                                      21000 - 22000 : [ 2 0.02 0.78 ]
|X                                        22000 - 23000 : [ 1 0.01 0.79 ]
#...
|XXX                                      29000 - 30000 : [ 2 0.02 0.80 ]
|XXX                                      30000 - 31000 : [ 2 0.02 0.82 ]
#...
|X                                        32000 - 33000 : [ 1 0.01 0.83 ]
#...
|XXX                                      34000 - 35000 : [ 2 0.02 0.85 ]
#...
|X                                        36000 - 37000 : [ 1 0.01 0.86 ]
#...
|X                                        38000 - 39000 : [ 1 0.01 0.87 ]
#...
|X                                        40000 - 41000 : [ 1 0.01 0.88 ]
#...
|X                                        50000 - 51000 : [ 1 0.01 0.88 ]
#...
|X                                        64000 - 65000 : [ 1 0.01 0.89 ]
#...
|X                                        70000 - 71000 : [ 1 0.01 0.90 ]
#...
|X                                        72000 - 73000 : [ 1 0.01 0.91 ]
#...
|X                                        89000 - 90000 : [ 1 0.01 0.92 ]
#...
|X                                        110000 - 111000 : [ 1 0.01 0.93 ]
#...
|X                                        117000 - 118000 : [ 1 0.01 0.94 ]
#...
|X                                        158000 - 159000 : [ 1 0.01 0.95 ]
#...
|X                                        175000 - 176000 : [ 1 0.01 0.96 ]
#...
|X                                        228000 - 229000 : [ 1 0.01 0.96 ]
#...
|X                                        278000 - 279000 : [ 1 0.01 0.97 ]
#...
|X                                        289000 - 290000 : [ 1 0.01 0.98 ]
#...
|X                                        317000 - 318000 : [ 1 0.01 0.99 ]
#...
|X                                        421000 - 422000 : [ 1 0.01 1.00 ]


###################################################################

Histogram of Assembled Average Insert Sizes

Command: /home/copeland/scripts/phrapView2.pl -p phrap.out -C > reads.list
-------------------------------------------------------------------
Command: /usr/xpg4/bin/grep AICX reads.list > grep.reads.list.AICX
Command: /home/copeland/scripts/histogram2.pl grep.reads.list.AICX 4 500

#Found 7070 total values totalling 26027449.0000. <3681.393069 +/- 2540.400713>
#Range: [  - 164214 ]
#Most likely bin: [ 3000 - 3500 ] 2646 counts
#Median bin: [ 3500 - 4000 ] 2550 counts
|                                         0 - 500 : [ 1 0.00 0.00 ]
|                                         500 - 1000 : [ 2 0.00 0.00 ]
|                                         1000 - 1500 : [ 20 0.00 0.00 ]
|                                         1500 - 2000 : [ 19 0.00 0.01 ]
|X                                        2000 - 2500 : [ 59 0.01 0.01 ]
|XXX                                      2500 - 3000 : [ 188 0.03 0.04 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 3000 - 3500 : [ 2646 0.37 0.42 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX  3500 - 4000 : [ 2550 0.36 0.78 ]
|XXXXXXXXXXXXXXXXXXXXXX                   4000 - 4500 : [ 1430 0.20 0.98 ]
|XX                                       4500 - 5000 : [ 150 0.02 1.00 ]
|                                         5000 - 5500 : [ 1 0.00 1.00 ]
#...
|                                         30000 - 30500 : [ 1 0.00 1.00 ]
#...
|                                         44500 - 45000 : [ 1 0.00 1.00 ]
#...
|                                         129500 - 130000 : [ 1 0.00 1.00 ]
#...
|                                         164000 - 164500 : [ 1 0.00 1.00 ]

Command: /usr/xpg4/bin/grep AICY reads.list > grep.reads.list.AICY
Command: /home/copeland/scripts/histogram2.pl grep.reads.list.AICY 4 500

#Found 5395 total values totalling 38046278.0000. <7052.136793 +/- 10048.227334>
#Range: [  - 364883 ]
#Most likely bin: [ 6000 - 6500 ] 1270 counts
#Median bin: [ 6500 - 7000 ] 1170 counts
|                                         0 - 500 : [ 1 0.00 0.00 ]
#...
|                                         1000 - 1500 : [ 7 0.00 0.00 ]
|                                         1500 - 2000 : [ 8 0.00 0.00 ]
|                                         2000 - 2500 : [ 12 0.00 0.01 ]
|X                                        2500 - 3000 : [ 20 0.00 0.01 ]
|X                                        3000 - 3500 : [ 18 0.00 0.01 ]
|X                                        3500 - 4000 : [ 20 0.00 0.02 ]
|X                                        4000 - 4500 : [ 29 0.01 0.02 ]
|X                                        4500 - 5000 : [ 37 0.01 0.03 ]
|XXXXXXXXX                                5000 - 5500 : [ 297 0.06 0.08 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX           5500 - 6000 : [ 955 0.18 0.26 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 6000 - 6500 : [ 1270 0.24 0.50 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX    6500 - 7000 : [ 1170 0.22 0.71 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXX              7000 - 7500 : [ 870 0.16 0.87 ]
|XXXXXXXXXXXXXXX                          7500 - 8000 : [ 484 0.09 0.96 ]
|XXXXX                                    8000 - 8500 : [ 157 0.03 0.99 ]
|                                         8500 - 9000 : [ 2 0.00 0.99 ]
|                                         9000 - 9500 : [ 4 0.00 0.99 ]
#...
|                                         11000 - 11500 : [ 2 0.00 0.99 ]
|                                         11500 - 12000 : [ 1 0.00 0.99 ]
#...
|                                         12500 - 13000 : [ 1 0.00 0.99 ]
#...
|                                         14000 - 14500 : [ 1 0.00 0.99 ]
#...
|                                         15000 - 15500 : [ 2 0.00 0.99 ]
#...
|                                         23000 - 23500 : [ 1 0.00 1.00 ]
#...
|                                         28500 - 29000 : [ 2 0.00 1.00 ]
#...
|                                         30500 - 31000 : [ 2 0.00 1.00 ]
#...
|                                         35000 - 35500 : [ 1 0.00 1.00 ]
#...
|                                         42000 - 42500 : [ 1 0.00 1.00 ]
#...
|                                         52000 - 52500 : [ 1 0.00 1.00 ]
#...
|                                         64000 - 64500 : [ 1 0.00 1.00 ]
#...
|                                         65500 - 66000 : [ 1 0.00 1.00 ]
#...
|                                         70000 - 70500 : [ 1 0.00 1.00 ]
#...
|                                         73000 - 73500 : [ 1 0.00 1.00 ]
#...
|                                         82000 - 82500 : [ 1 0.00 1.00 ]
#...
|                                         84000 - 84500 : [ 2 0.00 1.00 ]
#...
|                                         99500 - 100000 : [ 1 0.00 1.00 ]
#...
|                                         124000 - 124500 : [ 1 0.00 1.00 ]
#...
|                                         133500 - 134000 : [ 1 0.00 1.00 ]
#...
|                                         140500 - 141000 : [ 1 0.00 1.00 ]
#...
|                                         144500 - 145000 : [ 1 0.00 1.00 ]
#...
|                                         162000 - 162500 : [ 1 0.00 1.00 ]
#...
|                                         179500 - 180000 : [ 1 0.00 1.00 ]
#...
|                                         203000 - 203500 : [ 1 0.00 1.00 ]
#...
|                                         208500 - 209000 : [ 1 0.00 1.00 ]
#...
|                                         232500 - 233000 : [ 1 0.00 1.00 ]
#...
|                                         341500 - 342000 : [ 1 0.00 1.00 ]
#...
|                                         364500 - 365000 : [ 1 0.00 1.00 ]

Command: /usr/xpg4/bin/grep AICZ reads.list > grep.reads.list.AICZ
Command: /home/copeland/scripts/histogram2.pl grep.reads.list.AICZ 4 500

#Found 806 total values totalling 31527311.0000. <39115.770471 +/- 3418.664867>
#Range: [  - 55017 ]
#Most likely bin: [ 39000 - 39500 ] 61 counts
#Median bin: [ 39000 - 39500 ] 61 counts
|X                                        0 - 500 : [ 1 0.00 0.00 ]
#...
|X                                        29000 - 29500 : [ 2 0.00 0.00 ]
#...
|X                                        30000 - 30500 : [ 1 0.00 0.00 ]
|X                                        30500 - 31000 : [ 1 0.00 0.01 ]
|X                                        31000 - 31500 : [ 1 0.00 0.01 ]
|XXX                                      31500 - 32000 : [ 4 0.00 0.01 ]
|XXXX                                     32000 - 32500 : [ 6 0.01 0.02 ]
|XXX                                      32500 - 33000 : [ 5 0.01 0.03 ]
|XXXX                                     33000 - 33500 : [ 6 0.01 0.03 ]
|XXXXXXXX                                 33500 - 34000 : [ 12 0.01 0.05 ]
|XXXXXXXXXXXXX                            34000 - 34500 : [ 20 0.02 0.07 ]
|XXXXXXXXXX                               34500 - 35000 : [ 15 0.02 0.09 ]
|XXXXXXXXXXXXXXXXXX                       35000 - 35500 : [ 27 0.03 0.13 ]
|XXXXXXXXXXXXXXX                          35500 - 36000 : [ 23 0.03 0.15 ]
|XXXXXXXXXXXXXXXXXXXX                     36000 - 36500 : [ 30 0.04 0.19 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX          36500 - 37000 : [ 47 0.06 0.25 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX          37000 - 37500 : [ 48 0.06 0.31 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXX           37500 - 38000 : [ 45 0.06 0.36 ]
|XXXXXXXXXXXXXXXXXXXXXXXX                 38000 - 38500 : [ 36 0.04 0.41 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX     38500 - 39000 : [ 55 0.07 0.48 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 39000 - 39500 : [ 61 0.08 0.55 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXX             39500 - 40000 : [ 42 0.05 0.61 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX        40000 - 40500 : [ 50 0.06 0.67 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXXX              40500 - 41000 : [ 41 0.05 0.72 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXX               41000 - 41500 : [ 39 0.05 0.77 ]
|XXXXXXXXXXXXXXXXXX                       41500 - 42000 : [ 28 0.03 0.80 ]
|XXXXXXXXXXXXXXXXXXXXXXXXXX               42000 - 42500 : [ 39 0.05 0.85 ]
|XXXXXXXXXXXXXXXXXXXX                     42500 - 43000 : [ 30 0.04 0.89 ]
|XXXXXXXXXX                               43000 - 43500 : [ 16 0.02 0.91 ]
|XXXXXXXXXXXXXX                           43500 - 44000 : [ 22 0.03 0.93 ]
|XXXXXXXXXXXXX                            44000 - 44500 : [ 20 0.02 0.96 ]
|XXXXXXXXX                                44500 - 45000 : [ 13 0.02 0.98 ]
|XXXXXXX                                  45000 - 45500 : [ 10 0.01 0.99 ]
|XXXXX                                    45500 - 46000 : [ 7 0.01 1.00 ]
|X                                        46000 - 46500 : [ 1 0.00 1.00 ]
#...
|X                                        47000 - 47500 : [ 1 0.00 1.00 ]
#...
|X                                        55000 - 55500 : [ 1 0.00 1.00 ]




###################################################################

Estimated Assembled Average Insert Sizes

Command: /home/copeland/scripts/estInsertSize.pl -f phrap.out
-------------------------------------------------------------------

# AICY 6451 +- 1135 (n=2766)
# AICZ 39039 +- 3052 (n=397)
# AICX 3560 +- 961 (n=3550)


###################################################################

N50 Calculations:

* N50 Contig Reads   *


Total Assemb Reads:
1/2 (Tot. Assemb Reads):

Command:	hist contig.grep 3 10 3 (10) (100)


Result: Half the total assembled reads are in n of largest contigs
containing at least n reads each.
-------------------------------------------------------------------




###################################################################

Ideal Assembly with avg read len of 759.464673 bp, 34860 reads, genome size 3006895 bp

Command:	idealAssembly 3006895 34860 759.464673
-------------------------------------------------------------------

Genome = 3006895 bases
Nreads = 34860
readLength = 759.464673
Depth = 8.80

N_contigs = N_gaps = 5
mean gap size = 85 bases
mean contig size = 6666 reads (~ 574966 bases)
%cover = 99.98
%singlet = 0.00
assembly size = 3006443 bases

Contig size distribution:
-------------------------

N50 (analytic): About half the reads will be in 1 contigs containing at least 11185 reads each

* N50 Contig Sizes   *

Total Assemb Size:	
1/2 (Tot.Assemb. Size):	

Command:	hist contig.grep 5 1000 5 (2200) (15000)

Result: Half of the total Assembled Size of the genome is contained in n
of the largest contigs equaling n bps.

###################################################################
Bad M1 Contigs-------------------------------------------------------------------

###################################################################
Bad M2 Contigs
-------------------------------------------------------------------

###################################################################

Ran Plates2contigs:	
Output Location:	

Ran in.dir:	
Output Location:	

Viewed Contigs with Phrapview:	

###################################################################
Conclusions:
