Bumblebee: Difference between revisions

From Cbcb
Jump to navigation Jump to search
Line 37: Line 37:
= Assembly =
= Assembly =


* Meryl
* Trimming
  No OBT
  adaptors in the seqs
 
* Kmers
   meryl -Dh -s 0-mercounts/asm-C-ms22-cm1 >! 22mers.hist
   meryl -Dh -s 0-mercounts/asm-C-ms22-cm1 >! 22mers.hist
   Found 3136399464 mers.
   Found 3136399464 mers.
Line 44: Line 48:
   Largest mercount is 12006651; 90 mers are too big for histogram.
   Largest mercount is 12006651; 90 mers are too big for histogram.


* countKmers
  countKmers.pl
  most frequent 22mer :                AGCATACATTATACGAAGTTAT    ~ 16% of the seqs
   most frequent 42mer : CGTAATAACTTCGTATAGCATACATTATACGAAGTTATACGA ~ 20%  of the seqs : circularization adapter  
   most frequent 42mer : CGTAATAACTTCGTATAGCATACATTATACGAAGTTATACGA ~ 10%  of the seqs (pPAC7.9124-9165)  
    
    
* Unitigger : max utg len=852bp


* Consensus after unitigger : 3 out of 129 jobs failed
 
* Location
* Location
   /fs/szdevel/dpuiu/SourceForge/wgs-assembler.030210/Linux-amd64/bin/runCA
   /fs/szdevel/dpuiu/SourceForge/wgs-assembler.030210/Linux-amd64/bin/runCA

Revision as of 11:40, 5 March 2010

Data

  • ~ 500B genome
  • 7 pairs of data files (paired ends) : lanes 1..3,5..8 (lane 4 wasn't used)
 Lane   Insert            ReadLen    #Reads 
 1      3K(2..6,avg 4K)   124        34,944,099 
 2      8K(7..9,avg 8K)   124        32,540,640

 3      500(450..600)     124        34,745,750  # gDNA
 5      500                          34,601,239
 6      500                          34,553,857
 7      500                          34,682,612
 8      500                          12,975,839
  • Tasks to figure out:
1. Erroneous reads/bases, which we need to correct or discard
2. GC bias, so we can compute a-stats properly
3. Redundancy in the long paired ends, which are lane 1 and lane 2.
 
  • Used the 454 protocol to circularize the DNA for sequencing with the Illumina instrument.
    • Some reads will begin in the circularization adaptor and thus will have only one usable read
    • Some reads have a few bases of DNA sequence and hit the circularization adaptor right away
    • Most reads will have at least 36bp from each end before hitting the adaptor.
    • Many reads will not have any adaptor to trim (>125bp of DNA sequence at both ends of the adaptor)
  • circularization adaptors
 TCGTATAACTTCGTATAATGTATGCTATACGAAGTTATTACG - revcomp -> CGTAATAACTTCGTATAGCATACATTATACGAAGTTATACGA
 AGCATATTGAAGCATATTACATACGATATGCTTCAATAATGC
  • Formatting: keep only the first 100bp (last 24 bp are anyway low qual)
  • Location:
 /fs/szattic-asmg4/Bees/Bombus_impatiens

Assembly

  • Trimming
 No OBT
 adaptors in the seqs
  • Kmers
 meryl -Dh -s 0-mercounts/asm-C-ms22-cm1 >! 22mers.hist
 Found 3136399464 mers.
 Found 379123530 distinct mers.
 Found 201257394 unique mers.
 Largest mercount is 12006651; 90 mers are too big for histogram.
 countKmers.pl
 most frequent 42mer : CGTAATAACTTCGTATAGCATACATTATACGAAGTTATACGA ~ 20%  of the seqs : circularization adapter  
 
  • Unitigger : max utg len=852bp
  • Consensus after unitigger : 3 out of 129 jobs failed
  • Location
 /fs/szdevel/dpuiu/SourceForge/wgs-assembler.030210/Linux-amd64/bin/runCA