Difference between revisions of "A differential kmer analysis pipeline"
From Applied Bioinformatics Group
(Created page with "Most next generation transcriptome sequencing projects rely on either mapping sequenced reads to a reference of the assembly of the reads themselves to produce a reference for ma...") |
|||
Line 2: | Line 2: | ||
As an alternative approach, we have established a non-mapping method where differential expressed reads are determined by examining kmer abundance. While computationally expensive, this approach has the advantage in that it works well for metagenomic samples and can differentiate between very similar genes from the same or related organisms. | As an alternative approach, we have established a non-mapping method where differential expressed reads are determined by examining kmer abundance. While computationally expensive, this approach has the advantage in that it works well for metagenomic samples and can differentiate between very similar genes from the same or related organisms. | ||
+ | |||
+ | This method has been successfully applied to identify differential genes in coral RNA-Seq data. The pipeline can be downloaded from [[DiffKAP]]. | ||
Back to [[Main_Page]] | Back to [[Main_Page]] |
Latest revision as of 02:57, 11 September 2015
Most next generation transcriptome sequencing projects rely on either mapping sequenced reads to a reference of the assembly of the reads themselves to produce a reference for mapping.
As an alternative approach, we have established a non-mapping method where differential expressed reads are determined by examining kmer abundance. While computationally expensive, this approach has the advantage in that it works well for metagenomic samples and can differentiate between very similar genes from the same or related organisms.
This method has been successfully applied to identify differential genes in coral RNA-Seq data. The pipeline can be downloaded from DiffKAP.
Back to Main_Page