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MALINA: a web service for visual analytics of human gut microbiota whole-genome metagenomic reads

MALINA is a web service for bioinformatic analysis of whole-genome metagenomic data obtained from human gut microbiota sequencing. As input data, it accepts metagenomic reads of various sequencing technologies, including long reads (such as Sanger and 454 sequencing) and next-generation (including S...

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Autores principales: Tyakht, Alexander V, Popenko, Anna S, Belenikin, Maxim S, Altukhov, Ilya A, Pavlenko, Alexander V, Kostryukova, Elena S, Selezneva, Oksana V, Larin, Andrei K, Karpova, Irina Y, Alexeev, Dmitry G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599743/
https://www.ncbi.nlm.nih.gov/pubmed/23216677
http://dx.doi.org/10.1186/1751-0473-7-13
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author Tyakht, Alexander V
Popenko, Anna S
Belenikin, Maxim S
Altukhov, Ilya A
Pavlenko, Alexander V
Kostryukova, Elena S
Selezneva, Oksana V
Larin, Andrei K
Karpova, Irina Y
Alexeev, Dmitry G
author_facet Tyakht, Alexander V
Popenko, Anna S
Belenikin, Maxim S
Altukhov, Ilya A
Pavlenko, Alexander V
Kostryukova, Elena S
Selezneva, Oksana V
Larin, Andrei K
Karpova, Irina Y
Alexeev, Dmitry G
author_sort Tyakht, Alexander V
collection PubMed
description MALINA is a web service for bioinformatic analysis of whole-genome metagenomic data obtained from human gut microbiota sequencing. As input data, it accepts metagenomic reads of various sequencing technologies, including long reads (such as Sanger and 454 sequencing) and next-generation (including SOLiD and Illumina). It is the first metagenomic web service that is capable of processing SOLiD color-space reads, to authors’ knowledge. The web service allows phylogenetic and functional profiling of metagenomic samples using coverage depth resulting from the alignment of the reads to the catalogue of reference sequences which are built into the pipeline and contain prevalent microbial genomes and genes of human gut microbiota. The obtained metagenomic composition vectors are processed by the statistical analysis and visualization module containing methods for clustering, dimension reduction and group comparison. Additionally, the MALINA database includes vectors of bacterial and functional composition for human gut microbiota samples from a large number of existing studies allowing their comparative analysis together with user samples, namely datasets from Russian Metagenome project, MetaHIT and Human Microbiome Project (downloaded from http://hmpdacc.org). MALINA is made freely available on the web at http://malina.metagenome.ru. The website is implemented in JavaScript (using Ext JS), Microsoft .NET Framework, MS SQL, Python, with all major browsers supported.
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spelling pubmed-35997432013-03-17 MALINA: a web service for visual analytics of human gut microbiota whole-genome metagenomic reads Tyakht, Alexander V Popenko, Anna S Belenikin, Maxim S Altukhov, Ilya A Pavlenko, Alexander V Kostryukova, Elena S Selezneva, Oksana V Larin, Andrei K Karpova, Irina Y Alexeev, Dmitry G Source Code Biol Med Software Review MALINA is a web service for bioinformatic analysis of whole-genome metagenomic data obtained from human gut microbiota sequencing. As input data, it accepts metagenomic reads of various sequencing technologies, including long reads (such as Sanger and 454 sequencing) and next-generation (including SOLiD and Illumina). It is the first metagenomic web service that is capable of processing SOLiD color-space reads, to authors’ knowledge. The web service allows phylogenetic and functional profiling of metagenomic samples using coverage depth resulting from the alignment of the reads to the catalogue of reference sequences which are built into the pipeline and contain prevalent microbial genomes and genes of human gut microbiota. The obtained metagenomic composition vectors are processed by the statistical analysis and visualization module containing methods for clustering, dimension reduction and group comparison. Additionally, the MALINA database includes vectors of bacterial and functional composition for human gut microbiota samples from a large number of existing studies allowing their comparative analysis together with user samples, namely datasets from Russian Metagenome project, MetaHIT and Human Microbiome Project (downloaded from http://hmpdacc.org). MALINA is made freely available on the web at http://malina.metagenome.ru. The website is implemented in JavaScript (using Ext JS), Microsoft .NET Framework, MS SQL, Python, with all major browsers supported. BioMed Central 2012-12-07 /pmc/articles/PMC3599743/ /pubmed/23216677 http://dx.doi.org/10.1186/1751-0473-7-13 Text en Copyright ©2012 Tyakht et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Review
Tyakht, Alexander V
Popenko, Anna S
Belenikin, Maxim S
Altukhov, Ilya A
Pavlenko, Alexander V
Kostryukova, Elena S
Selezneva, Oksana V
Larin, Andrei K
Karpova, Irina Y
Alexeev, Dmitry G
MALINA: a web service for visual analytics of human gut microbiota whole-genome metagenomic reads
title MALINA: a web service for visual analytics of human gut microbiota whole-genome metagenomic reads
title_full MALINA: a web service for visual analytics of human gut microbiota whole-genome metagenomic reads
title_fullStr MALINA: a web service for visual analytics of human gut microbiota whole-genome metagenomic reads
title_full_unstemmed MALINA: a web service for visual analytics of human gut microbiota whole-genome metagenomic reads
title_short MALINA: a web service for visual analytics of human gut microbiota whole-genome metagenomic reads
title_sort malina: a web service for visual analytics of human gut microbiota whole-genome metagenomic reads
topic Software Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3599743/
https://www.ncbi.nlm.nih.gov/pubmed/23216677
http://dx.doi.org/10.1186/1751-0473-7-13
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