Results 31 to 40 of about 30,341 (174)
, 2022 ATLAS - Three commands to start analyzing your metagenome ...
Silas Kieser +14 more
core +1 more source
Barcodes for genomes and applications
BMC Bioinformatics, 2008 Background Each genome has a stable distribution of the combined frequency for each k-mer and its reverse complement measured in sequence fragments as short as 1000 bps across the whole genome, for ...
Xu Ying, Olman Victor, Zhou Fengfeng
doaj +1 more source
, 2023 We assembled a total of 444 medium- to high-quality metagenome-assembled genomes (MAGs) with completeness > 50% and contamination < 5%, from floc-associated bacterial community (FAB) of a commercial shrimp biofloc aquaculture system, located in South ...
Yeonjung Lim (6645230) +5 more
core +1 more source
Scientific Data, 2021 Measurement(s) marine metagenome • sequence_assembly Technology Type(s) DNA sequencing • sequence assembly process • Binning clustering method Factor Type(s) gulf Sample Characteristic - Environment marine biome • deep marine sediment Sample ...
Neelam M. Nathani +5 more
doaj +1 more source
Metagenome-assembled-genomes (MAGs)
, 2022 MAGs were constructed using snakemake metagenome workflow in anvi'o (Eren et al., 2015). A detailed explanation on the workflow (such as the softwares used in anvi'o) can be found in the supplementary material of the paper.
Ömer Coskun (9725927)
core +1 more source
STRONG: metagenomics strain resolution on assembly graphs
Genome Biology, 2021 We introduce STrain Resolution ON assembly Graphs (STRONG), which identifies strains de novo, from multiple metagenome samples. STRONG performs coassembly, and binning into metagenome assembled genomes (MAGs), and stores the coassembly graph prior to ...
Christopher Quince +9 more
doaj +1 more source
Genome Biology, 2022 Recovering high-quality metagenome-assembled genomes (MAGs) from complex microbial ecosystems remains challenging. Recently, high-throughput chromosome conformation capture (Hi-C) has been applied to simultaneously study multiple genomes in natural ...
Yuxuan Du, Fengzhu Sun
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Multilocus sequence typing breathes life into a microbial metagenome [PDF]
, 2006 Shot-gun sequencing of DNA isolated from the environment and the assembly of metagenomes from the resulting data has considerably advanced the study of microbial diversity.
Vandamme Peter +23 more
core +2 more sources
CAMISIM: simulating metagenomes and microbial communities
Microbiome, 2019 Background Shotgun metagenome data sets of microbial communities are highly diverse, not only due to the natural variation of the underlying biological systems, but also due to differences in laboratory protocols, replicate numbers, and sequencing ...
Adrian Fritz +12 more
doaj +1 more source