Accepted_test

Search for spreading microorganisms based on the analysis of the abundance of k-mers in metagenomic sequencing data

by Vera Panova | Nikolai Popov | Dmitry Fedorov | Alexander Manolov | Research Institute for Systems Biology and Medicine (RISBM); Department of Bioengineering and Bioinformatics, Lomonosov Moscow State University | Research Institute for Systems Biology and Medicine (RISBM) | Research Institute for Systems Biology and Medicine (RISBM) | Research Institute for Systems Biology and Medicine (RISBM)

Abstract ID: 278

Event: BGRS-abstracts

Sections: [Sym 8] Modeling and computer analysis of microbiological systems and processes

This work aims to develop an approach to the identification of possible infectious agents based on increasing the representation and prevalence of short fixed-length substrings (k-mers) in the data of genome-wide metagenomic sequencing. We validated and tested it on simulated data, using linear model.