Microbiome data science

被引:0
|
作者
Sudarshan A Shetty
Leo Lahti
机构
[1] Wageningen University and Research,Laboratory of Microbiology
[2] University of Turku,Department of Future Technologies
来源
Journal of Biosciences | 2019年 / 44卷
关键词
Bioinformatics; data science; microbiome; open science; research software;
D O I
暂无
中图分类号
学科分类号
摘要
Best practices from open data science are spreading across research fields, providing new opportunities for research and education. Open data science emphasizes the view that digitalization is enabling new forms of resource sharing, collaboration and outreach. This has the potential to improve the overall transparency and efficiency of research. Microbiome bioinformatics is a rapidly developing area that can greatly benefit from this progress. The concept of microbiome data science refers to the application of best practices from open data science to microbiome bioinformatics. The increasing availability of open data and new opportunities to collaborate online are greatly facilitating the development of this field. A microbiome data science ecosystem combines experimental research data with open data processing and analysis and reproducible tutorials that can also serve as an educational resource. Here, we provide an overview of the current status of microbiome data science from a community developer perspective and propose directions for future development of the field.
引用
下载
收藏
相关论文
共 50 条
  • [1] Microbiome data science
    Shetty, Sudarshan A.
    Lahti, Leo
    JOURNAL OF BIOSCIENCES, 2019, 44 (05)
  • [2] The National Microbiome Data Collaborative: enabling microbiome science
    Wood-Charlson, Elisha M.
    Anubhav
    Auberry, Deanna
    Blanco, Hannah
    Borkum, Mark I.
    Corilo, Yuri E.
    Davenport, Karen W.
    Deshpande, Shweta
    Devarakonda, Ranjeet
    Drake, Meghan
    Duncan, William D.
    Flynn, Mark C.
    Hays, David
    Hu, Bin
    Huntemann, Marcel
    Li, Po-E
    Lipton, Mary
    Lo, Chien-Chi
    Millard, David
    Miller, Kayd
    Piehowski, Paul D.
    Purvine, Samuel
    Reddy, T. B. K.
    Shakya, Migun
    Sundaramurthi, Jagadish Chandrabose
    Vangay, Pajau
    Wei, Yaxing
    Wilson, Bruce E.
    Canon, Shane
    Chain, Patrick S. G.
    Fagnan, Kjiersten
    Martin, Stanton
    McCue, Lee Ann
    Mungall, Christopher J.
    Mouncey, Nigel J.
    Maxon, Mary E.
    Eloe-Fadrosh, Emiley A.
    NATURE REVIEWS MICROBIOLOGY, 2020, 18 (06) : 313 - 314
  • [3] The National Microbiome Data Collaborative: enabling microbiome science
    Elisha M. Wood-Charlson
    Deanna Anubhav
    Hannah Auberry
    Mark I. Blanco
    Yuri E. Borkum
    Karen W. Corilo
    Shweta Davenport
    Ranjeet Deshpande
    Meghan Devarakonda
    William D. Drake
    Mark C. Duncan
    David Flynn
    Bin Hays
    Marcel Hu
    Po-E Huntemann
    Mary Li
    Chien-Chi Lipton
    David Lo
    Kayd Millard
    Paul D. Miller
    Samuel Piehowski
    T.B.K. Purvine
    Migun Reddy
    Jagadish Chandrabose Shakya
    Pajau Sundaramurthi
    Yaxing Vangay
    Bruce E. Wei
    Shane Wilson
    Patrick S. G. Canon
    Kjiersten Chain
    Stanton Fagnan
    Lee Ann Martin
    Christopher J. McCue
    Nigel J. Mungall
    Mary E. Mouncey
    Emiley A. Maxon
    Nature Reviews Microbiology, 2020, 18 : 313 - 314
  • [4] Toward Sourdough Microbiome Data: A Review of Science and Patents
    Albagli, Gabriel
    Finotelli, Priscilla V.
    Ferreira, Tatiana Felix
    Amaral, Priscilla F. F.
    FOODS, 2023, 12 (02)
  • [5] On the Role of Bioinformatics and Data Science in Industrial Microbiome Applications
    van den Bogert, Bartholomeus
    Boekhorst, Jos
    Pirovano, Walter
    May, Ali
    FRONTIERS IN GENETICS, 2019, 10
  • [6] Microbiome Data Science: Understanding Our Microbial Planet
    Kyrpides, Nikos C.
    Eloe-Fadrosh, Emiley A.
    Ivanova, Natalia N.
    TRENDS IN MICROBIOLOGY, 2016, 24 (06) : 425 - 427
  • [7] Ecosystem Microbiome Science
    Zhu, Yong-Guan
    Zhu, Dong
    Rillig, Matthias C.
    Yang, Yunfeng
    Chu, Haiyan
    Chen, Qing-Lin
    Penuelas, Josep
    Cui, Hui-Ling
    Gillings, Michael
    MLIFE, 2023, 2 (01): : 2 - 10
  • [8] Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
    Evan Bolyen
    Jai Ram Rideout
    Matthew R. Dillon
    Nicholas A. Bokulich
    Christian C. Abnet
    Gabriel A. Al-Ghalith
    Harriet Alexander
    Eric J. Alm
    Manimozhiyan Arumugam
    Francesco Asnicar
    Yang Bai
    Jordan E. Bisanz
    Kyle Bittinger
    Asker Brejnrod
    Colin J. Brislawn
    C. Titus Brown
    Benjamin J. Callahan
    Andrés Mauricio Caraballo-Rodríguez
    John Chase
    Emily K. Cope
    Ricardo Da Silva
    Christian Diener
    Pieter C. Dorrestein
    Gavin M. Douglas
    Daniel M. Durall
    Claire Duvallet
    Christian F. Edwardson
    Madeleine Ernst
    Mehrbod Estaki
    Jennifer Fouquier
    Julia M. Gauglitz
    Sean M. Gibbons
    Deanna L. Gibson
    Antonio Gonzalez
    Kestrel Gorlick
    Jiarong Guo
    Benjamin Hillmann
    Susan Holmes
    Hannes Holste
    Curtis Huttenhower
    Gavin A. Huttley
    Stefan Janssen
    Alan K. Jarmusch
    Lingjing Jiang
    Benjamin D. Kaehler
    Kyo Bin Kang
    Christopher R. Keefe
    Paul Keim
    Scott T. Kelley
    Dan Knights
    Nature Biotechnology, 2019, 37 : 852 - 857
  • [9] Development of a data science CURE in microbiology using publicly available microbiome datasets
    Sun, Evelyn
    Konig, Stephan G.
    Cirstea, Mihai
    Hallam, Steven J.
    Graves, Marcia L.
    Oliver, David C.
    FRONTIERS IN MICROBIOLOGY, 2022, 13
  • [10] Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
    Bolyen, Evan
    Rideout, Jai Ram
    Dillon, Matthew R.
    Bokulich, NicholasA.
    Abnet, Christian C.
    Al-Ghalith, Gabriel A.
    Alexander, Harriet
    Alm, Eric J.
    Arumugam, Manimozhiyan
    Asnicar, Francesco
    Bai, Yang
    Bisanz, Jordan E.
    Bittinger, Kyle
    Brejnrod, Asker
    Brislawn, Colin J.
    Brown, C. Titus
    Callahan, Benjamin J.
    Caraballo-Rodriguez, Andres Mauricio
    Chase, John
    Cope, Emily K.
    Da Silva, Ricardo
    Diener, Christian
    Dorrestein, Pieter C.
    Douglas, Gavin M.
    Durall, Daniel M.
    Duvallet, Claire
    Edwardson, Christian F.
    Ernst, Madeleine
    Estaki, Mehrbod
    Fouquier, Jennifer
    Gauglitz, Julia M.
    Gibbons, Sean M.
    Gibson, Deanna L.
    Gonzalez, Antonio
    Gorlick, Kestrel
    Guo, Jiarong
    Hillmann, Benjamin
    Holmes, Susan
    Holste, Hannes
    Huttenhower, Curtis
    Huttley, Gavin A.
    Janssen, Stefan
    Jarmusch, Alan K.
    Jiang, Lingjing
    Kaehler, Benjamin D.
    Bin Kang, Kyo
    Keefe, Christopher R.
    Keim, Paul
    Kelley, Scott T.
    Knights, Dan
    NATURE BIOTECHNOLOGY, 2019, 37 (08) : 852 - 857