Literature DB >> 31719224

Microbiome data science.

Sudarshan A Shetty1, Leo Lahti.   

Abstract

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.

Mesh:

Year:  2019        PMID: 31719224

Source DB:  PubMed          Journal:  J Biosci        ISSN: 0250-5991            Impact factor:   1.826


  48 in total

1.  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

2.  Dynamic assessment of microbial ecology (DAME): a web app for interactive analysis and visualization of microbial sequencing data.

Authors:  Brian D Piccolo; Umesh D Wankhade; Sree V Chintapalli; Sudeepa Bhattacharyya; Luo Chunqiao; Kartik Shankar
Journal:  Bioinformatics       Date:  2018-03-15       Impact factor: 6.937

3.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

4.  Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data.

Authors:  Kathrin P Aßhauer; Bernd Wemheuer; Rolf Daniel; Peter Meinicke
Journal:  Bioinformatics       Date:  2015-05-07       Impact factor: 6.937

5.  Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking.

Authors:  Paul J McMurdie; Susan Holmes
Journal:  Bioinformatics       Date:  2014-09-26       Impact factor: 6.937

6.  How open science helps researchers succeed.

Authors:  Erin C McKiernan; Philip E Bourne; C Titus Brown; Stuart Buck; Amye Kenall; Jennifer Lin; Damon McDougall; Brian A Nosek; Karthik Ram; Courtney K Soderberg; Jeffrey R Spies; Kaitlin Thaney; Andrew Updegrove; Kara H Woo; Tal Yarkoni
Journal:  Elife       Date:  2016-07-07       Impact factor: 8.140

7.  Good enough practices in scientific computing.

Authors:  Greg Wilson; Jennifer Bryan; Karen Cranston; Justin Kitzes; Lex Nederbragt; Tracy K Teal
Journal:  PLoS Comput Biol       Date:  2017-06-22       Impact factor: 4.475

8.  Git can facilitate greater reproducibility and increased transparency in science.

Authors:  Karthik Ram
Journal:  Source Code Biol Med       Date:  2013-02-28

9.  Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis.

Authors:  Andrew D Fernandes; Jennifer Ns Reid; Jean M Macklaim; Thomas A McMurrough; David R Edgell; Gregory B Gloor
Journal:  Microbiome       Date:  2014-05-05       Impact factor: 14.650

10.  Bioconductor workflow for microbiome data analysis: from raw reads to community analyses.

Authors:  Ben J Callahan; Kris Sankaran; Julia A Fukuyama; Paul J McMurdie; Susan P Holmes
Journal:  F1000Res       Date:  2016-06-24
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  8 in total

1.  Eight-week exercise training in humans with obesity: Marked improvements in insulin sensitivity and modest changes in gut microbiome.

Authors:  Rebecca J H M Verheggen; Prokopis Konstanti; Hauke Smidt; Ad R M M Hermus; Dick H J Thijssen; Maria T E Hopman
Journal:  Obesity (Silver Spring)       Date:  2021-08-31       Impact factor: 9.298

2.  Probiotic Mixture Containing Lactobacillus helveticus, Bifidobacterium longum and Lactiplantibacillus plantarum Affects Brain Responses Toward an Emotional Task in Healthy Subjects: A Randomized Clinical Trial.

Authors:  Julia Rode; Hanna M T Edebol Carlman; Julia König; Dirk Repsilber; Ashley N Hutchinson; Per Thunberg; Pernilla Andersson; Jonas Persson; Andrey Kiselev; Lori Lathrop Stern; Benita Salomon; Ahmed Abdulilah Mohammed; Jennifer S Labus; Robert J Brummer
Journal:  Front Nutr       Date:  2022-04-29

3.  Differential Response of Wheat Rhizosphere Bacterial Community to Plant Variety and Fertilization.

Authors:  Lisa Cangioli; Marco Mancini; Marco Napoli; Camilla Fagorzi; Simone Orlandini; Francesca Vaccaro; Alessio Mengoni
Journal:  Int J Mol Sci       Date:  2022-03-25       Impact factor: 5.923

4.  Skin microbiota diversity among genetically unrelated individuals of Indian origin.

Authors:  Renuka Potbhare; Ameeta RaviKumar; Eveliina Munukka; Leo Lahti; Richa Ashma
Journal:  PeerJ       Date:  2022-03-16       Impact factor: 2.984

5.  Influence of Aging, Macronutrient Composition and Time-Restricted Feeding on the Fischer344 x Brown Norway Rat Gut Microbiota.

Authors:  Abbi R Hernandez; Keri M Kemp; Sara N Burke; Thomas W Buford; Christy S Carter
Journal:  Nutrients       Date:  2022-04-22       Impact factor: 5.717

6.  Twelve Months of Time-Restricted Feeding Improves Cognition and Alters Microbiome Composition Independent of Macronutrient Composition.

Authors:  Abbi R Hernandez; Cory Watson; Quinten P Federico; Rachel Fletcher; Armen Brotgandel; Thomas W Buford; Christy S Carter; Sara N Burke
Journal:  Nutrients       Date:  2022-09-24       Impact factor: 6.706

7.  An in vitro fermentation model to study the impact of bacteriophages targeting Shiga toxin-encoding Escherichia coli on the colonic microbiota.

Authors:  Graça Pinto; Sudarshan A Shetty; Erwin G Zoetendal; Raquel F S Gonçalves; Ana C Pinheiro; Carina Almeida; Joana Azeredo; Hauke Smidt
Journal:  NPJ Biofilms Microbiomes       Date:  2022-09-26       Impact factor: 8.462

8.  Hydrodynamic disturbance controls microbial community assembly and biogeochemical processes in coastal sediments.

Authors:  Ya-Jou Chen; Pok Man Leung; Perran L M Cook; Wei Wen Wong; Tess Hutchinson; Vera Eate; Adam J Kessler; Chris Greening
Journal:  ISME J       Date:  2021-09-28       Impact factor: 10.302

  8 in total

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