Literature DB >> 27259541

MetaFast: fast reference-free graph-based comparison of shotgun metagenomic data.

Vladimir I Ulyantsev1, Sergey V Kazakov1, Veronika B Dubinkina2, Alexander V Tyakht2, Dmitry G Alexeev3.   

Abstract

MOTIVATION: High-throughput metagenomic sequencing has revolutionized our view on the structure and metabolic potential of microbial communities. However, analysis of metagenomic composition is often complicated by the high complexity of the community and the lack of related reference genomic sequences. As a start point for comparative metagenomic analysis, the researchers require efficient means for assessing pairwise similarity of the metagenomes (beta-diversity). A number of approaches were used to address this task, however, most of them have inherent disadvantages that limit their scope of applicability. For instance, the reference-based methods poorly perform on metagenomes from previously unstudied niches, while composition-based methods appear to be too abstract for straightforward interpretation and do not allow to identify the differentially abundant features.
RESULTS: We developed MetaFast, an approach that allows to represent a shotgun metagenome from an arbitrary environment as a modified de Bruijn graph consisting of simplified components. For multiple metagenomes, the resulting representation is used to obtain a pairwise similarity matrix. The dimensional structure of the metagenomic components preserved in our algorithm reflects the inherent subspecies-level diversity of microbiota. The method is computationally efficient and especially promising for an analysis of metagenomes from novel environmental niches.
AVAILABILITY AND IMPLEMENTATION: Source code and binaries are freely available for download at https://github.com/ctlab/metafast The code is written in Java and is platform independent (tested on Linux and Windows x86_64). CONTACT: ulyantsev@rain.ifmo.ru SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Mesh:

Year:  2016        PMID: 27259541     DOI: 10.1093/bioinformatics/btw312

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

1.  A strong link between marine microbial community composition and function challenges the idea of functional redundancy.

Authors:  Pierre E Galand; Olivier Pereira; Corentin Hochart; Jean Christophe Auguet; Didier Debroas
Journal:  ISME J       Date:  2018-06-20       Impact factor: 10.302

Review 2.  Insights into study design and statistical analyses in translational microbiome studies.

Authors:  Jyoti Shankar
Journal:  Ann Transl Med       Date:  2017-06

3.  Metagenome SNP calling via read-colored de Bruijn graphs.

Authors:  Bahar Alipanahi; Martin D Muggli; Musa Jundi; Noelle R Noyes; Christina Boucher
Journal:  Bioinformatics       Date:  2021-04-01       Impact factor: 6.937

Review 4.  Music of metagenomics-a review of its applications, analysis pipeline, and associated tools.

Authors:  Bilal Wajid; Faria Anwar; Imran Wajid; Haseeb Nisar; Sharoze Meraj; Ali Zafar; Mustafa Kamal Al-Shawaqfeh; Ali Riza Ekti; Asia Khatoon; Jan S Suchodolski
Journal:  Funct Integr Genomics       Date:  2021-10-18       Impact factor: 3.410

5.  KOMB: K-core based de novo characterization of copy number variation in microbiomes.

Authors:  Advait Balaji; Nicolae Sapoval; Charlie Seto; R A Leo Elworth; Yilei Fu; Michael G Nute; Tor Savidge; Santiago Segarra; Todd J Treangen
Journal:  Comput Struct Biotechnol J       Date:  2022-06-17       Impact factor: 6.155

6.  Libra: scalable k-mer-based tool for massive all-vs-all metagenome comparisons.

Authors:  Illyoung Choi; Alise J Ponsero; Matthew Bomhoff; Ken Youens-Clark; John H Hartman; Bonnie L Hurwitz
Journal:  Gigascience       Date:  2019-02-01       Impact factor: 6.524

7.  Genome-resolved metagenomics of sugarcane vinasse bacteria.

Authors:  Noriko A Cassman; Késia S Lourenço; Janaína B do Carmo; Heitor Cantarella; Eiko E Kuramae
Journal:  Biotechnol Biofuels       Date:  2018-02-22       Impact factor: 6.040

8.  Links of gut microbiota composition with alcohol dependence syndrome and alcoholic liver disease.

Authors:  Veronika B Dubinkina; Alexander V Tyakht; Vera Y Odintsova; Konstantin S Yarygin; Boris A Kovarsky; Alexander V Pavlenko; Dmitry S Ischenko; Anna S Popenko; Dmitry G Alexeev; Anastasiya Y Taraskina; Regina F Nasyrova; Evgeny M Krupitsky; Nino V Shalikiani; Igor G Bakulin; Petr L Shcherbakov; Lyubov O Skorodumova; Andrei K Larin; Elena S Kostryukova; Rustam A Abdulkhakov; Sayar R Abdulkhakov; Sergey Y Malanin; Ruzilya K Ismagilova; Tatiana V Grigoryeva; Elena N Ilina; Vadim M Govorun
Journal:  Microbiome       Date:  2017-10-17       Impact factor: 14.650

9.  Minimal-moderate variation of human oral virome and microbiome in IgA deficiency.

Authors:  Maria José de la Cruz Peña; Luis Ignacio Gonzalez-Granado; Inmaculada Garcia-Heredia; Lucia Maestre Carballa; Manuel Martinez-Garcia
Journal:  Sci Rep       Date:  2021-07-21       Impact factor: 4.379

Review 10.  Alignment-free sequence comparison: benefits, applications, and tools.

Authors:  Andrzej Zielezinski; Susana Vinga; Jonas Almeida; Wojciech M Karlowski
Journal:  Genome Biol       Date:  2017-10-03       Impact factor: 13.583

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.