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Thread | Thread Starter | Forum | Replies | Last Post |
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#1 |
Member
Location: London, UK Join Date: Nov 2011
Posts: 12
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Does the level of sequence duplication in Illumina reads affect the way velvet works?
I'm trying velvet to assembly some bacterial Illumina data. It's not doing so well, producing a lot of small contigs rather than fewer larger ones. The data are 10-105 nuc reads that have been processed to remove adapters using cutadapt (hence the size range) The nominal coverage (read length x number of reads)/genome length is reasonable (range: 21-243, median 100). However the data all have quite a lot of sequence duplication (according to FastQC (range: 23-80; median 58) Using Velvet Optimiser identifies a kmer between 69-71,but the output is still lots of smaller contigs. Would reducing that duplication level help velvet? If so what software would anyone recommend (not FastX; its writer told me it wasn't designed to today's read lengths - which is why it couldn't clip adapters in my libraries) thanks, look fwd to everyone's suggestions, and have a great weekend m |
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sequenceduplication, velvet |
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