Literature DB >> 28686567

Methods for The Metagenomic Data Visualization and Analysis.

Konstantin Sudarikov1, Alexander Tyakht2, Dmitry Alexeev3.   

Abstract

Surveys of environmental microbial communities using metagenomic approach produce vast volumes of multidimensional data regarding the phylogenetic and functional composition of the microbiota. Faced with such complex data, a metagenomic researcher needs to select the means for data analysis properly. Data visualization became an indispensable part of the exploratory data analysis and serves a key to the discoveries. While the molecular-genetic analysis of even a single bacterium presents multiple layers of data to be properly displayed and perceived, the studies of microbiota are significantly more challenging. Here we present a review of the state-of-art methods for the visualization of metagenomic data in a multi-level manner: from the methods applicable to an in-depth analysis of a single metagenome to the techniques appropriate for large-scale studies containing hundreds of environmental samples.

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Year:  2017        PMID: 28686567     DOI: 10.21775/cimb.024.037

Source DB:  PubMed          Journal:  Curr Issues Mol Biol        ISSN: 1467-3037            Impact factor:   2.081


  6 in total

Review 1.  Tools for Analysis of the Microbiome.

Authors:  Jessica Galloway-Peña; Blake Hanson
Journal:  Dig Dis Sci       Date:  2020-03       Impact factor: 3.199

Review 2.  Strategies for Natural Products Discovery from Uncultured Microorganisms.

Authors:  Khorshed Alam; Muhammad Nazeer Abbasi; Jinfang Hao; Youming Zhang; Aiying Li
Journal:  Molecules       Date:  2021-05-17       Impact factor: 4.411

3.  WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data.

Authors:  Joseph C Devlin; Thomas Battaglia; Martin J Blaser; Kelly V Ruggles
Journal:  BMC Genomics       Date:  2018-06-25       Impact factor: 3.969

4.  Keanu: a novel visualization tool to explore biodiversity in metagenomes.

Authors:  Adam Thrash; Mark Arick; Robyn A Barbato; Robert M Jones; Thomas A Douglas; Julie Esdale; Edward J Perkins; Natàlia Garcia-Reyero
Journal:  BMC Bioinformatics       Date:  2019-03-14       Impact factor: 3.169

5.  Addressing Learning Needs on the Use of Metagenomics in Antimicrobial Resistance Surveillance.

Authors:  Ana Sofia Ribeiro Duarte; Katharina D C Stärk; Patrick Munk; Pimlapas Leekitcharoenphon; Alex Bossers; Roosmarijn Luiken; Steven Sarrazin; Oksana Lukjancenko; Sünje Johanna Pamp; Valeria Bortolaia; Jakob Nybo Nissen; Philipp Kirstahler; Liese Van Gompel; Casper Sahl Poulsen; Rolf Sommer Kaas; Maria Hellmér; Rasmus Borup Hansen; Violeta Munoz Gomez; Tine Hald
Journal:  Front Public Health       Date:  2020-02-25

6.  Knomics-Biota - a system for exploratory analysis of human gut microbiota data.

Authors:  Daria Efimova; Alexander Tyakht; Anna Popenko; Anatoly Vasilyev; Ilya Altukhov; Nikita Dovidchenko; Vera Odintsova; Natalya Klimenko; Robert Loshkarev; Maria Pashkova; Anna Elizarova; Viktoriya Voroshilova; Sergei Slavskii; Yury Pekov; Ekaterina Filippova; Tatiana Shashkova; Evgenii Levin; Dmitry Alexeev
Journal:  BioData Min       Date:  2018-11-06       Impact factor: 2.522

  6 in total

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