Title: Functional analysis of metagenomics/metatranscriptomics sequencing data as short peptides
Speaker: Cuncong Zhong, Postdoctoral Researcher, J. Craig Venter Institute
Functional analysis of metagenomic or metatranscriptomic sequencing data is important in understanding microbial communities and their interaction with the environment. Due to the high-complexity of microbial communities and uneven/insufficient sequencing coverage, accurate functional analysis remains a challenge. We show that de novo assembly using short peptide reads translated from nucleotide reads is able to achieve more complete assembly and generate longer contigs. We also show that simultaneous alignment and assembly of short peptides significantly improves the sensitivity of functional annotation. Finally, we show that using these programs on human metagenomic data set (stool) improves abundance profiling of gene families; and that using these programs on human metatranscriptomics data set (oral) improves differential expression detection.