genome binning
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2020 ◽  
Vol 11 ◽  
Author(s):  
Haiying Xie ◽  
Caiyun Yang ◽  
Yamin Sun ◽  
Yasuo Igarashi ◽  
Tao Jin ◽  
...  
Keyword(s):  

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Yi Yue ◽  
Hao Huang ◽  
Zhao Qi ◽  
Hui-Min Dou ◽  
Xin-Yi Liu ◽  
...  
Keyword(s):  

2017 ◽  
Author(s):  
Fernando Meyer ◽  
Peter Hofmann ◽  
Peter Belmann ◽  
Ruben Garrido-Oter ◽  
Adrian Fritz ◽  
...  

AbstractReconstructing the genomes of microbial community members is key to the interpretation of shotgun metagenome samples. Genome binning programs deconvolute reads or assembled contigs of such samples into individual bins, but assessing their quality is difficult due to the lack of evaluation software and standardized metrics. We present AMBER, an evaluation package for the comparative assessment of genome reconstructions from metagenome benchmark data sets. It calculates the performance metrics and comparative visualizations used in the first benchmarking challenge of the Initiative for the Critical Assessment of Metagenome Interpretation (CAMI). As an application, we show the outputs of AMBER for ten different binnings on two CAMI benchmark data sets. AMBER is implemented in Python and available under the Apache 2.0 license on GitHub (https://github.com/CAMI-challenge/AMBER).


Author(s):  
Richard Allen White III ◽  
Joseph Brown ◽  
Sean Colby ◽  
Christopher C Overall ◽  
Joon-Yong Lee ◽  
...  

ATLAS (Automatic Tool for Local Assembly Structures) is a comprehensive multi-omics data analysis pipeline that is massively parallel and scalable. ATLAS contains a modular analysis pipeline for assembly, annotation, quantification and genome binning of metagenomics and metatranscriptomics data and a framework for reference metaproteomic database construction. ATLAS transforms raw sequence data into functional and taxonomic data at the microbial population level and provides genome-centric resolution through genome binning. ATLAS provides robust taxonomy based on majority voting of protein-coding open reading frames (ORFs) rolled-up at the contig level using modified lowest common ancestor (LCA) analysis. ATLAS is user-friendly, easy install through bioconda maintained as open-source on GitHub, and is implemented in Snakemake for modular customizable workflows.


Author(s):  
Richard Allen White III ◽  
Joseph Brown ◽  
Sean Colby ◽  
Christopher C Overall ◽  
Joon-Yong Lee ◽  
...  

ATLAS (Automatic Tool for Local Assembly Structures) is a comprehensive multi-omics data analysis pipeline that is massively parallel and scalable. ATLAS contains a modular analysis pipeline for assembly, annotation, quantification and genome binning of metagenomics and metatranscriptomics data and a framework for reference metaproteomic database construction. ATLAS transforms raw sequence data into functional and taxonomic data at the microbial population level and provides genome-centric resolution through genome binning. ATLAS provides robust taxonomy based on majority voting of protein-coding open reading frames (ORFs) rolled-up at the contig level using modified lowest common ancestor (LCA) analysis. ATLAS is user-friendly, easy install through bioconda maintained as open-source on GitHub, and is implemented in Snakemake for modular customizable workflows.


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