The Metagenomic Binning Problem: Clustering Markov Sequences

The goal of metagenomics is to study the composition of microbial communities, typically using high-throughput shotgun sequencing. In the metagenomic binning problem, we observe random substrings (called contigs) from a mixture of genomes and want to cluster them according to their genome of origin....

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Veröffentlicht in:	arXiv.org 2019-12
Hauptverfasser:	Greenberg, G, Shomorony, I
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Euclidean geometry Genomes Information theory Markov analysis Markov processes Microorganisms
Online-Zugang:	Volltext
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