Multi-sample Binning
Multi-Sample Binning is a metagenome binning strategy that belongs to the class of binning methods and is distinguished by its integration of abundance and compositional information across multiple samples to improve the recovery of microbial genomes from complex communities.
4
Publications
1.4K
Citations
21
Authors
14
Institutions
Publications per year
2017–2026
2
Parents
4
MetaGen: reference-free learning with multiple metagenomic samples
Xin Xing, Jun S. Liu, Wenxuan Zhong · Genome biology · 2017 · 21 citations · Full text
1–5 of 4
21
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 21
14

University of Glasgow
Glasgow, United Kingdom
1 h-index
1 publications
17 citations
Novo Nordisk Foundation
Copenhagen, Denmark
1 h-index
1 publications
29 citations
Aalborg University
Aalborg, Denmark
1 h-index
3 publications
4K citations
Heinrich Heine University Düsseldorf
Düsseldorf, Germany
1 h-index
2 publications
34 citations

Broad Institute
Cambridge, United States
1 h-index
1 publications
17 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
1 h-index
2 publications
34 citations
Clinical Microbiomics (Denmark)
Copenhagen, Denmark
1 h-index
1 publications
29 citations
Technical University of Denmark
Kongens Lyngby, Denmark
1 h-index
6 publications
174 citations
1–8 of 14
1 publications · 1.3K citations
1
h-index
Repository · 1 publications · 17 citations
1
h-index
Repository · 1 publications · 29 citations
1
h-index
1 publications · 21 citations
1
h-index
1 publications · 23 citations
1–5