Literature DB >> 33221926

HumanMetagenomeDB: a public repository of curated and standardized metadata for human metagenomes.

Jonas Coelho Kasmanas1,2,3, Alexander Bartholomäus4, Felipe Borim Corrêa2,3, Tamara Tal5, Nico Jehmlich6, Gunda Herberth7, Martin von Bergen6,8, Peter F Stadler3, André Carlos Ponce de Leon Ferreira de Carvalho1, Ulisses Nunes da Rocha2.   

Abstract

Metagenomics became a standard strategy to comprehend the functional potential of microbial communities, including the human microbiome. Currently, the number of metagenomes in public repositories is increasing exponentially. The Sequence Read Archive (SRA) and the MG-RAST are the two main repositories for metagenomic data. These databases allow scientists to reanalyze samples and explore new hypotheses. However, mining samples from them can be a limiting factor, since the metadata available in these repositories is often misannotated, misleading, and decentralized, creating an overly complex environment for sample reanalysis. The main goal of the HumanMetagenomeDB is to simplify the identification and use of public human metagenomes of interest. HumanMetagenomeDB version 1.0 contains metadata of 69 822 metagenomes. We standardized 203 attributes, based on standardized ontologies, describing host characteristics (e.g. sex, age and body mass index), diagnosis information (e.g. cancer, Crohn's disease and Parkinson), location (e.g. country, longitude and latitude), sampling site (e.g. gut, lung and skin) and sequencing attributes (e.g. sequencing platform, average length and sequence quality). Further, HumanMetagenomeDB version 1.0 metagenomes encompass 58 countries, 9 main sample sites (i.e. body parts), 58 diagnoses and multiple ages, ranging from just born to 91 years old. The HumanMetagenomeDB is publicly available at https://webapp.ufz.de/hmgdb/.
© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2021        PMID: 33221926      PMCID: PMC7778935          DOI: 10.1093/nar/gkaa1031

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  25 in total

Review 1.  Next generation sequencing and bioinformatic bottlenecks: the current state of metagenomic data analysis.

Authors:  Matthew B Scholz; Chien-Chi Lo; Patrick S G Chain
Journal:  Curr Opin Biotechnol       Date:  2011-12-09       Impact factor: 9.740

2.  Accessible, curated metagenomic data through ExperimentHub.

Authors:  Edoardo Pasolli; Lucas Schiffer; Paolo Manghi; Audrey Renson; Valerie Obenchain; Duy Tin Truong; Francesco Beghini; Faizan Malik; Marcel Ramos; Jennifer B Dowd; Curtis Huttenhower; Martin Morgan; Nicola Segata; Levi Waldron
Journal:  Nat Methods       Date:  2017-10-31       Impact factor: 28.547

3.  The minimum information about a genome sequence (MIGS) specification.

Authors:  Dawn Field; George Garrity; Tanya Gray; Norman Morrison; Jeremy Selengut; Peter Sterk; Tatiana Tatusova; Nicholas Thomson; Michael J Allen; Samuel V Angiuoli; Michael Ashburner; Nelson Axelrod; Sandra Baldauf; Stuart Ballard; Jeffrey Boore; Guy Cochrane; James Cole; Peter Dawyndt; Paul De Vos; Claude DePamphilis; Robert Edwards; Nadeem Faruque; Robert Feldman; Jack Gilbert; Paul Gilna; Frank Oliver Glöckner; Philip Goldstein; Robert Guralnick; Dan Haft; David Hancock; Henning Hermjakob; Christiane Hertz-Fowler; Phil Hugenholtz; Ian Joint; Leonid Kagan; Matthew Kane; Jessie Kennedy; George Kowalchuk; Renzo Kottmann; Eugene Kolker; Saul Kravitz; Nikos Kyrpides; Jim Leebens-Mack; Suzanna E Lewis; Kelvin Li; Allyson L Lister; Phillip Lord; Natalia Maltsev; Victor Markowitz; Jennifer Martiny; Barbara Methe; Ilene Mizrachi; Richard Moxon; Karen Nelson; Julian Parkhill; Lita Proctor; Owen White; Susanna-Assunta Sansone; Andrew Spiers; Robert Stevens; Paul Swift; Chris Taylor; Yoshio Tateno; Adrian Tett; Sarah Turner; David Ussery; Bob Vaughan; Naomi Ward; Trish Whetzel; Ingio San Gil; Gareth Wilson; Anil Wipat
Journal:  Nat Biotechnol       Date:  2008-05       Impact factor: 54.908

4.  The Sequence Read Archive: explosive growth of sequencing data.

Authors:  Yuichi Kodama; Martin Shumway; Rasko Leinonen
Journal:  Nucleic Acids Res       Date:  2011-10-18       Impact factor: 16.971

5.  Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation.

Authors:  Andrew Maltez Thomas; Paolo Manghi; Francesco Asnicar; Edoardo Pasolli; Federica Armanini; Moreno Zolfo; Francesco Beghini; Serena Manara; Nicolai Karcher; Chiara Pozzi; Sara Gandini; Davide Serrano; Sonia Tarallo; Antonio Francavilla; Gaetano Gallo; Mario Trompetto; Giulio Ferrero; Sayaka Mizutani; Hirotsugu Shiroma; Satoshi Shiba; Tatsuhiro Shibata; Shinichi Yachida; Takuji Yamada; Jakob Wirbel; Petra Schrotz-King; Cornelia M Ulrich; Hermann Brenner; Manimozhiyan Arumugam; Peer Bork; Georg Zeller; Francesca Cordero; Emmanuel Dias-Neto; João Carlos Setubal; Adrian Tett; Barbara Pardini; Maria Rescigno; Levi Waldron; Alessio Naccarati; Nicola Segata
Journal:  Nat Med       Date:  2019-04-01       Impact factor: 87.241

6.  BioSamples database: an updated sample metadata hub.

Authors:  Mélanie Courtot; Luca Cherubin; Adam Faulconbridge; Daniel Vaughan; Matthew Green; David Richardson; Peter Harrison; Patricia L Whetzel; Helen Parkinson; Tony Burdett
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

7.  TerrestrialMetagenomeDB: a public repository of curated and standardized metadata for terrestrial metagenomes.

Authors:  Felipe Borim Corrêa; João Pedro Saraiva; Peter F Stadler; Ulisses Nunes da Rocha
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

8.  Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer.

Authors:  Jakob Wirbel; Paul Theodor Pyl; Ece Kartal; Konrad Zych; Alireza Kashani; Alessio Milanese; Jonas S Fleck; Anita Y Voigt; Albert Palleja; Ruby Ponnudurai; Shinichi Sunagawa; Luis Pedro Coelho; Petra Schrotz-King; Emily Vogtmann; Nina Habermann; Emma Niméus; Andrew M Thomas; Paolo Manghi; Sara Gandini; Davide Serrano; Sayaka Mizutani; Hirotsugu Shiroma; Satoshi Shiba; Tatsuhiro Shibata; Shinichi Yachida; Takuji Yamada; Levi Waldron; Alessio Naccarati; Nicola Segata; Rashmi Sinha; Cornelia M Ulrich; Hermann Brenner; Manimozhiyan Arumugam; Peer Bork; Georg Zeller
Journal:  Nat Med       Date:  2019-04-01       Impact factor: 53.440

9.  DNA data bank of Japan (DDBJ) progress report.

Authors:  Jun Mashima; Yuichi Kodama; Takehide Kosuge; Takatomo Fujisawa; Toshiaki Katayama; Hideki Nagasaki; Yoshihiro Okuda; Eli Kaminuma; Osamu Ogasawara; Kousaku Okubo; Yasukazu Nakamura; Toshihisa Takagi
Journal:  Nucleic Acids Res       Date:  2015-11-17       Impact factor: 16.971

10.  EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies.

Authors:  Alex L Mitchell; Maxim Scheremetjew; Hubert Denise; Simon Potter; Aleksandra Tarkowska; Matloob Qureshi; Gustavo A Salazar; Sebastien Pesseat; Miguel A Boland; Fiona M I Hunter; Petra Ten Hoopen; Blaise Alako; Clara Amid; Darren J Wilkinson; Thomas P Curtis; Guy Cochrane; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

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  6 in total

1.  Arabinoxylan and Pectin Metabolism in Crohn's Disease Microbiota: An In Silico Study.

Authors:  Carlos Sabater; Inés Calvete-Torre; Lorena Ruiz; Abelardo Margolles
Journal:  Int J Mol Sci       Date:  2022-06-25       Impact factor: 6.208

2.  SKIOME Project: a curated collection of skin microbiome datasets enriched with study-related metadata.

Authors:  Giulia Agostinetto; Davide Bozzi; Danilo Porro; Maurizio Casiraghi; Massimo Labra; Antonia Bruno
Journal:  Database (Oxford)       Date:  2022-05-16       Impact factor: 4.462

3.  The 2021 Nucleic Acids Research database issue and the online molecular biology database collection.

Authors:  Daniel J Rigden; Xosé M Fernández
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

4.  ADDAGMA: A database for domestic animal gut microbiome atlas.

Authors:  Yueren Xu; Bingbing Lei; Qingfeng Zhang; Yunjiao Lei; Cunyuan Li; Xiaoyue Li; Rui Yao; Ruirui Hu; Kaiping Liu; Yue Wang; Yuying Cui; Limin Wang; Jihong Dai; Lei Li; Wei Ni; Ping Zhou; Ze-Xian Liu; Shengwei Hu
Journal:  Comput Struct Biotechnol J       Date:  2022-02-10       Impact factor: 7.271

5.  A database of animal metagenomes.

Authors:  Ruirui Hu; Rui Yao; Lei Li; Yueren Xu; Bingbing Lei; Guohao Tang; Haowei Liang; Yunjiao Lei; Cunyuan Li; Xiaoyue Li; Kaiping Liu; Limin Wang; Yunfeng Zhang; Yue Wang; Yuying Cui; Jihong Dai; Wei Ni; Ping Zhou; Baohua Yu; Shengwei Hu
Journal:  Sci Data       Date:  2022-06-16       Impact factor: 8.501

6.  A machine learning framework for discovery and enrichment of metagenomics metadata from open access publications.

Authors:  Maaly Nassar; Alexander B Rogers; Francesco Talo'; Santiago Sanchez; Zunaira Shafique; Robert D Finn; Johanna McEntyre
Journal:  Gigascience       Date:  2022-08-11       Impact factor: 7.658

  6 in total

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