Metagenomes Binning Using Proximity-Ligation Data - Archive ouverte HAL Access content directly
Book Sections Year : 2021

Metagenomes Binning Using Proximity-Ligation Data

(1) , (1)
1

Abstract

Microbial communities are key components of all ecosystems, but characterization of their complete genomic structure remains challenging. Typical analysis tends to elude the complexity of the mixes in terms of species, strains, as well as extrachromosomal DNA molecules. Recently, approaches have been developed that bins DNA contigs into individual genomes and episomes according to their 3D contact frequencies. Those contacts are quantified by chromosome conformation capture experiments (3C, Hi-C), also known as proximity-ligation approaches, applied to metagenomics samples. Here, we present a simple computational pipeline that allows to recover high-quality Metagenomics Assemble Genomes (MAGs) starting from metagenomic 3C or Hi-C datasets and a metagenome assembly.
Not file

Dates and versions

pasteur-03369745 , version 1 (07-10-2021)

Identifiers

Cite

Martial Marbouty, Romain Koszul. Metagenomes Binning Using Proximity-Ligation Data. Hi-C Data Analysis, 2301, Springer US, pp.163-181, 2021, Methods in Molecular Biology, ⟨10.1007/978-1-0716-1390-0_8⟩. ⟨pasteur-03369745⟩
12 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More