Literature DB >> 31482150

CCMP: software-as-a-service approach for fully-automated microbiome profiling.

Sung Yong Park1, Sayan Nanda1, Gina Faraci1, Younghu Park1, Ha Youn Lee1.   

Abstract

Microbiome profiling holds great promise for the development of novel disease biomarkers and therapeutics. Next-generation sequencing is currently the preferred method for microbiome data collection and multiple standardized tools, packages, and pipelines have been developed for the purpose of raw data processing and microbial annotation. However, these currently available pipelines come with entry-level barriers such as high-performance hardware, software installation, and sequential command-line scripting that often deter end-users. We thus created Cloud Computing for Microbiome Profiling (CCMP, https://ccmp.usc.edu), a public cloud-based web tool which combines the analytical power of current microbiome analysis platforms with a user-friendly interface. CCMP is a free-of-charge software-as-a-service (SaaS) that simplifies user experience by enabling users to complete their analysis in a single step, uploading raw sequencing data files. Once users upload 16S ribosomal RNA gene sequence data, our pipeline performs taxonomic annotation, abundance profiling, and statistical tests to report microbiota signatures altered by diseases or experimental conditions. CCMP took a 125 gigabyte (GB) input of 16S ribosomal RNA gene sequence data from 1052 specimens in FASTQ format and reported figures and tables of taxonomic annotations, statistical tests, α and β diversity calculations, and principal coordinate analyses within 21 hours. CCMP is the first fully-automated web interface that integrates three key solutions for large-scale data analysis: cloud computing, fast file transfer technology, and microbiome analysis tools. As a reliable platform that supplies consistent microbiome analysis, CCMP will advance microbiome research by making effortful bioinformatics easily accessible to public.

Entities:  

Year:  2019        PMID: 31482150      PMCID: PMC6719681          DOI: 10.1016/j.yjbinx.2019.100040

Source DB:  PubMed          Journal:  J Biomed Inform X        ISSN: 2590-177X


  25 in total

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Journal:  Appl Environ Microbiol       Date:  2009-10-02       Impact factor: 4.792

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Authors:  Michael C Schatz; Ben Langmead; Steven L Salzberg
Journal:  Nat Biotechnol       Date:  2010-07       Impact factor: 54.908

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Journal:  Source Code Biol Med       Date:  2008-10-21

Review 6.  The gut microbiota shapes intestinal immune responses during health and disease.

Authors:  June L Round; Sarkis K Mazmanian
Journal:  Nat Rev Immunol       Date:  2009-05       Impact factor: 53.106

7.  QIIME allows analysis of high-throughput community sequencing data.

Authors:  J Gregory Caporaso; Justin Kuczynski; Jesse Stombaugh; Kyle Bittinger; Frederic D Bushman; Elizabeth K Costello; Noah Fierer; Antonio Gonzalez Peña; Julia K Goodrich; Jeffrey I Gordon; Gavin A Huttley; Scott T Kelley; Dan Knights; Jeremy E Koenig; Ruth E Ley; Catherine A Lozupone; Daniel McDonald; Brian D Muegge; Meg Pirrung; Jens Reeder; Joel R Sevinsky; Peter J Turnbaugh; William A Walters; Jeremy Widmann; Tanya Yatsunenko; Jesse Zaneveld; Rob Knight
Journal:  Nat Methods       Date:  2010-04-11       Impact factor: 28.547

8.  UniFrac: a new phylogenetic method for comparing microbial communities.

Authors:  Catherine Lozupone; Rob Knight
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

9.  The metagenomics RAST server - a public resource for the automatic phylogenetic and functional analysis of metagenomes.

Authors:  F Meyer; D Paarmann; M D'Souza; R Olson; E M Glass; M Kubal; T Paczian; A Rodriguez; R Stevens; A Wilke; J Wilkening; R A Edwards
Journal:  BMC Bioinformatics       Date:  2008-09-19       Impact factor: 3.169

10.  SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB.

Authors:  Elmar Pruesse; Christian Quast; Katrin Knittel; Bernhard M Fuchs; Wolfgang Ludwig; Jörg Peplies; Frank Oliver Glöckner
Journal:  Nucleic Acids Res       Date:  2007-10-18       Impact factor: 16.971

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