Literature DB >> 24124405

Analytical tools and databases for metagenomics in the next-generation sequencing era.

Mincheol Kim1, Ki-Hyun Lee, Seok-Whan Yoon, Bong-Soo Kim, Jongsik Chun, Hana Yi.   

Abstract

Metagenomics has become one of the indispensable tools in microbial ecology for the last few decades, and a new revolution in metagenomic studies is now about to begin, with the help of recent advances of sequencing techniques. The massive data production and substantial cost reduction in next-generation sequencing have led to the rapid growth of metagenomic research both quantitatively and qualitatively. It is evident that metagenomics will be a standard tool for studying the diversity and function of microbes in the near future, as fingerprinting methods did previously. As the speed of data accumulation is accelerating, bioinformatic tools and associated databases for handling those datasets have become more urgent and necessary. To facilitate the bioinformatics analysis of metagenomic data, we review some recent tools and databases that are used widely in this field and give insights into the current challenges and future of metagenomics from a bioinformatics perspective.

Entities:  

Keywords:  computational biology; high-throughput nucleotide sequencing; metagenomics

Year:  2013        PMID: 24124405      PMCID: PMC3794082          DOI: 10.5808/GI.2013.11.3.102

Source DB:  PubMed          Journal:  Genomics Inform        ISSN: 1598-866X


  109 in total

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2.  Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB.

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3.  A latitudinal diversity gradient in planktonic marine bacteria.

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-28       Impact factor: 11.205

4.  How to interpret an anonymous bacterial genome: machine learning approach to gene identification.

Authors:  W S Hayes; M Borodovsky
Journal:  Genome Res       Date:  1998-11       Impact factor: 9.043

5.  Bacterial community comparisons by taxonomy-supervised analysis independent of sequence alignment and clustering.

Authors:  Woo Jun Sul; James R Cole; Ederson da C Jesus; Qiong Wang; Ryan J Farris; Jordan A Fish; James M Tiedje
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-22       Impact factor: 11.205

6.  SEPP: SATé-enabled phylogenetic placement.

Authors:  S Mirarab; N Nguyen; T Warnow
Journal:  Pac Symp Biocomput       Date:  2012

7.  Metagenomic microbial community profiling using unique clade-specific marker genes.

Authors:  Nicola Segata; Levi Waldron; Annalisa Ballarini; Vagheesh Narasimhan; Olivier Jousson; Curtis Huttenhower
Journal:  Nat Methods       Date:  2012-06-10       Impact factor: 28.547

8.  Using the RDP classifier to predict taxonomic novelty and reduce the search space for finding novel organisms.

Authors:  Yemin Lan; Qiong Wang; James R Cole; Gail L Rosen
Journal:  PLoS One       Date:  2012-03-05       Impact factor: 3.240

9.  The Pfam protein families database.

Authors:  Marco Punta; Penny C Coggill; Ruth Y Eberhardt; Jaina Mistry; John Tate; Chris Boursnell; Ningze Pang; Kristoffer Forslund; Goran Ceric; Jody Clements; Andreas Heger; Liisa Holm; Erik L L Sonnhammer; Sean R Eddy; Alex Bateman; Robert D Finn
Journal:  Nucleic Acids Res       Date:  2011-11-29       Impact factor: 16.971

10.  SINA: accurate high-throughput multiple sequence alignment of ribosomal RNA genes.

Authors:  Elmar Pruesse; Jörg Peplies; Frank Oliver Glöckner
Journal:  Bioinformatics       Date:  2012-05-03       Impact factor: 6.937

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  34 in total

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Review 2.  Exploiting the architecture and the features of the microsporidian genomes to investigate diversity and impact of these parasites on ecosystems.

Authors:  E Peyretaillade; D Boucher; N Parisot; C Gasc; R Butler; J-F Pombert; E Lerat; P Peyret
Journal:  Heredity (Edinb)       Date:  2014-09-03       Impact factor: 3.821

3.  Classifying nitrilases as aliphatic and aromatic using machine learning technique.

Authors:  Nikhil Sharma; Ruchi Verma; Tek Chand Bhalla
Journal:  3 Biotech       Date:  2018-01-12       Impact factor: 2.406

4.  HoSeIn: A Workflow for Integrating Various Homology Search Results from Metagenomic and Metatranscriptomic Sequence Datasets.

Authors:  Gaston Rozadilla; Jorgelina Moreiras Clemente; Christina B McCarthy
Journal:  Bio Protoc       Date:  2020-07-20

Review 5.  Challenges and opportunities of airborne metagenomics.

Authors:  Hayedeh Behzad; Takashi Gojobori; Katsuhiko Mineta
Journal:  Genome Biol Evol       Date:  2015-05-06       Impact factor: 3.416

6.  Complete Chloroplast Genome of Tanaecium tetragonolobum: The First Bignoniaceae Plastome.

Authors:  Alison Gonçalves Nazareno; Monica Carlsen; Lúcia Garcez Lohmann
Journal:  PLoS One       Date:  2015-06-23       Impact factor: 3.240

Review 7.  Killing me softly--future challenges in apoptosis research.

Authors:  Mike-Andrew Westhoff; Oliver Brühl; Lisa Nonnenmacher; Georg Karpel-Massler; Klaus-Michael Debatin
Journal:  Int J Mol Sci       Date:  2014-03-03       Impact factor: 5.923

Review 8.  Analysis of plant microbe interactions in the era of next generation sequencing technologies.

Authors:  Claudia Knief
Journal:  Front Plant Sci       Date:  2014-05-21       Impact factor: 5.753

9.  Target classification in the 14th round of the critical assessment of protein structure prediction (CASP14).

Authors:  Lisa N Kinch; R Dustin Schaeffer; Andriy Kryshtafovych; Nick V Grishin
Journal:  Proteins       Date:  2021-08-19

Review 10.  A critical evaluation of PI3K inhibition in Glioblastoma and Neuroblastoma therapy.

Authors:  Mike-Andrew Westhoff; Georg Karpel-Massler; Oliver Brühl; Stefanie Enzenmüller; Katia La Ferla-Brühl; Markus D Siegelin; Lisa Nonnenmacher; Klaus-Michael Debatin
Journal:  Mol Cell Ther       Date:  2014-10-27
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