MetaLAFFA: a flexible, end-to-end, distributed computing-compatible metagenomic functional annotation pipeline

Background Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined via shotgun metagenomic sequencing, a technology which can offer unique insights into the genomic content of a microbial community. Function...

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Published inBMC bioinformatics Vol. 21; no. 1; pp. 471 - 9
Main Authors Eng, Alexander, Verster, Adrian J., Borenstein, Elhanan
Format Journal Article
LanguageEnglish
Published London BioMed Central 21.10.2020
BioMed Central Ltd
Springer Nature B.V
BMC
Subjects
Algorithms
Annotations
Antibiotics
Bioinformatics
Biomedical and Life Sciences
Computational Biology/Bioinformatics
Computer Appl. in Life Sciences
Computer networks
Customization
Distributed computing
Distributed processing
Drug resistance
Functional annotation
Genes
Genomes
Humans
Integration
Life Sciences
Metagenomics
Metagenomics - methods
Microarrays
Microbial activity
Microbiota
Microorganisms
Pipeline
Pipeline design
Pipelines
Quality control
Sequence analysis
Software
Source code
Type 2 diabetes
Workflow software
Functional annotation
Metagenomics
Distributed computing
Pipeline
Online AccessGet full text
ISSN1471-2105
1471-2105
DOI10.1186/s12859-020-03815-9

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Abstract Background Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined via shotgun metagenomic sequencing, a technology which can offer unique insights into the genomic content of a microbial community. Functional annotation of shotgun metagenomic data has become an increasingly popular method for identifying the aggregate functional capacities encoded by the community’s constituent microbes. Currently available metagenomic functional annotation pipelines, however, suffer from several shortcomings, including limited pipeline customization options, lack of standard raw sequence data pre-processing, and insufficient capabilities for integration with distributed computing systems. Results Here we introduce MetaLAFFA, a functional annotation pipeline designed to take unfiltered shotgun metagenomic data as input and generate functional profiles. MetaLAFFA is implemented as a Snakemake pipeline, which enables convenient integration with distributed computing clusters, allowing users to take full advantage of available computing resources. Default pipeline settings allow new users to run MetaLAFFA according to common practices while a Python module-based configuration system provides advanced users with a flexible interface for pipeline customization. MetaLAFFA also generates summary statistics for each step in the pipeline so that users can better understand pre-processing and annotation quality. Conclusions MetaLAFFA is a new end-to-end metagenomic functional annotation pipeline with distributed computing compatibility and flexible customization options. MetaLAFFA source code is available at https://github.com/borenstein-lab/MetaLAFFA and can be installed via Conda as described in the accompanying documentation.
AbstractList Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined via shotgun metagenomic sequencing, a technology which can offer unique insights into the genomic content of a microbial community. Functional annotation of shotgun metagenomic data has become an increasingly popular method for identifying the aggregate functional capacities encoded by the community's constituent microbes. Currently available metagenomic functional annotation pipelines, however, suffer from several shortcomings, including limited pipeline customization options, lack of standard raw sequence data pre-processing, and insufficient capabilities for integration with distributed computing systems. Here we introduce MetaLAFFA, a functional annotation pipeline designed to take unfiltered shotgun metagenomic data as input and generate functional profiles. MetaLAFFA is implemented as a Snakemake pipeline, which enables convenient integration with distributed computing clusters, allowing users to take full advantage of available computing resources. Default pipeline settings allow new users to run MetaLAFFA according to common practices while a Python module-based configuration system provides advanced users with a flexible interface for pipeline customization. MetaLAFFA also generates summary statistics for each step in the pipeline so that users can better understand pre-processing and annotation quality. MetaLAFFA is a new end-to-end metagenomic functional annotation pipeline with distributed computing compatibility and flexible customization options. MetaLAFFA source code is available at https://github.com/borenstein-lab/MetaLAFFA and can be installed via Conda as described in the accompanying documentation.
Background Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined via shotgun metagenomic sequencing, a technology which can offer unique insights into the genomic content of a microbial community. Functional annotation of shotgun metagenomic data has become an increasingly popular method for identifying the aggregate functional capacities encoded by the community’s constituent microbes. Currently available metagenomic functional annotation pipelines, however, suffer from several shortcomings, including limited pipeline customization options, lack of standard raw sequence data pre-processing, and insufficient capabilities for integration with distributed computing systems. Results Here we introduce MetaLAFFA, a functional annotation pipeline designed to take unfiltered shotgun metagenomic data as input and generate functional profiles. MetaLAFFA is implemented as a Snakemake pipeline, which enables convenient integration with distributed computing clusters, allowing users to take full advantage of available computing resources. Default pipeline settings allow new users to run MetaLAFFA according to common practices while a Python module-based configuration system provides advanced users with a flexible interface for pipeline customization. MetaLAFFA also generates summary statistics for each step in the pipeline so that users can better understand pre-processing and annotation quality. Conclusions MetaLAFFA is a new end-to-end metagenomic functional annotation pipeline with distributed computing compatibility and flexible customization options. MetaLAFFA source code is available at https://github.com/borenstein-lab/MetaLAFFA and can be installed via Conda as described in the accompanying documentation.
Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined via shotgun metagenomic sequencing, a technology which can offer unique insights into the genomic content of a microbial community. Functional annotation of shotgun metagenomic data has become an increasingly popular method for identifying the aggregate functional capacities encoded by the community's constituent microbes. Currently available metagenomic functional annotation pipelines, however, suffer from several shortcomings, including limited pipeline customization options, lack of standard raw sequence data pre-processing, and insufficient capabilities for integration with distributed computing systems.BACKGROUNDMicrobial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined via shotgun metagenomic sequencing, a technology which can offer unique insights into the genomic content of a microbial community. Functional annotation of shotgun metagenomic data has become an increasingly popular method for identifying the aggregate functional capacities encoded by the community's constituent microbes. Currently available metagenomic functional annotation pipelines, however, suffer from several shortcomings, including limited pipeline customization options, lack of standard raw sequence data pre-processing, and insufficient capabilities for integration with distributed computing systems.Here we introduce MetaLAFFA, a functional annotation pipeline designed to take unfiltered shotgun metagenomic data as input and generate functional profiles. MetaLAFFA is implemented as a Snakemake pipeline, which enables convenient integration with distributed computing clusters, allowing users to take full advantage of available computing resources. Default pipeline settings allow new users to run MetaLAFFA according to common practices while a Python module-based configuration system provides advanced users with a flexible interface for pipeline customization. MetaLAFFA also generates summary statistics for each step in the pipeline so that users can better understand pre-processing and annotation quality.RESULTSHere we introduce MetaLAFFA, a functional annotation pipeline designed to take unfiltered shotgun metagenomic data as input and generate functional profiles. MetaLAFFA is implemented as a Snakemake pipeline, which enables convenient integration with distributed computing clusters, allowing users to take full advantage of available computing resources. Default pipeline settings allow new users to run MetaLAFFA according to common practices while a Python module-based configuration system provides advanced users with a flexible interface for pipeline customization. MetaLAFFA also generates summary statistics for each step in the pipeline so that users can better understand pre-processing and annotation quality.MetaLAFFA is a new end-to-end metagenomic functional annotation pipeline with distributed computing compatibility and flexible customization options. MetaLAFFA source code is available at https://github.com/borenstein-lab/MetaLAFFA and can be installed via Conda as described in the accompanying documentation.CONCLUSIONSMetaLAFFA is a new end-to-end metagenomic functional annotation pipeline with distributed computing compatibility and flexible customization options. MetaLAFFA source code is available at https://github.com/borenstein-lab/MetaLAFFA and can be installed via Conda as described in the accompanying documentation.
Abstract Background Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined via shotgun metagenomic sequencing, a technology which can offer unique insights into the genomic content of a microbial community. Functional annotation of shotgun metagenomic data has become an increasingly popular method for identifying the aggregate functional capacities encoded by the community’s constituent microbes. Currently available metagenomic functional annotation pipelines, however, suffer from several shortcomings, including limited pipeline customization options, lack of standard raw sequence data pre-processing, and insufficient capabilities for integration with distributed computing systems. Results Here we introduce MetaLAFFA, a functional annotation pipeline designed to take unfiltered shotgun metagenomic data as input and generate functional profiles. MetaLAFFA is implemented as a Snakemake pipeline, which enables convenient integration with distributed computing clusters, allowing users to take full advantage of available computing resources. Default pipeline settings allow new users to run MetaLAFFA according to common practices while a Python module-based configuration system provides advanced users with a flexible interface for pipeline customization. MetaLAFFA also generates summary statistics for each step in the pipeline so that users can better understand pre-processing and annotation quality. Conclusions MetaLAFFA is a new end-to-end metagenomic functional annotation pipeline with distributed computing compatibility and flexible customization options. MetaLAFFA source code is available at https://github.com/borenstein-lab/MetaLAFFA and can be installed via Conda as described in the accompanying documentation.
Background Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined via shotgun metagenomic sequencing, a technology which can offer unique insights into the genomic content of a microbial community. Functional annotation of shotgun metagenomic data has become an increasingly popular method for identifying the aggregate functional capacities encoded by the community’s constituent microbes. Currently available metagenomic functional annotation pipelines, however, suffer from several shortcomings, including limited pipeline customization options, lack of standard raw sequence data pre-processing, and insufficient capabilities for integration with distributed computing systems. Results Here we introduce MetaLAFFA, a functional annotation pipeline designed to take unfiltered shotgun metagenomic data as input and generate functional profiles. MetaLAFFA is implemented as a Snakemake pipeline, which enables convenient integration with distributed computing clusters, allowing users to take full advantage of available computing resources. Default pipeline settings allow new users to run MetaLAFFA according to common practices while a Python module-based configuration system provides advanced users with a flexible interface for pipeline customization. MetaLAFFA also generates summary statistics for each step in the pipeline so that users can better understand pre-processing and annotation quality. Conclusions MetaLAFFA is a new end-to-end metagenomic functional annotation pipeline with distributed computing compatibility and flexible customization options. MetaLAFFA source code is available at https://github.com/borenstein-lab/MetaLAFFA and can be installed via Conda as described in the accompanying documentation.
Background Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined via shotgun metagenomic sequencing, a technology which can offer unique insights into the genomic content of a microbial community. Functional annotation of shotgun metagenomic data has become an increasingly popular method for identifying the aggregate functional capacities encoded by the community's constituent microbes. Currently available metagenomic functional annotation pipelines, however, suffer from several shortcomings, including limited pipeline customization options, lack of standard raw sequence data pre-processing, and insufficient capabilities for integration with distributed computing systems. Results Here we introduce MetaLAFFA, a functional annotation pipeline designed to take unfiltered shotgun metagenomic data as input and generate functional profiles. MetaLAFFA is implemented as a Snakemake pipeline, which enables convenient integration with distributed computing clusters, allowing users to take full advantage of available computing resources. Default pipeline settings allow new users to run MetaLAFFA according to common practices while a Python module-based configuration system provides advanced users with a flexible interface for pipeline customization. MetaLAFFA also generates summary statistics for each step in the pipeline so that users can better understand pre-processing and annotation quality. Conclusions MetaLAFFA is a new end-to-end metagenomic functional annotation pipeline with distributed computing compatibility and flexible customization options. MetaLAFFA source code is available at Keywords: Metagenomics, Functional annotation, Pipeline, Distributed computing
Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined via shotgun metagenomic sequencing, a technology which can offer unique insights into the genomic content of a microbial community. Functional annotation of shotgun metagenomic data has become an increasingly popular method for identifying the aggregate functional capacities encoded by the community's constituent microbes. Currently available metagenomic functional annotation pipelines, however, suffer from several shortcomings, including limited pipeline customization options, lack of standard raw sequence data pre-processing, and insufficient capabilities for integration with distributed computing systems. Here we introduce MetaLAFFA, a functional annotation pipeline designed to take unfiltered shotgun metagenomic data as input and generate functional profiles. MetaLAFFA is implemented as a Snakemake pipeline, which enables convenient integration with distributed computing clusters, allowing users to take full advantage of available computing resources. Default pipeline settings allow new users to run MetaLAFFA according to common practices while a Python module-based configuration system provides advanced users with a flexible interface for pipeline customization. MetaLAFFA also generates summary statistics for each step in the pipeline so that users can better understand pre-processing and annotation quality. MetaLAFFA is a new end-to-end metagenomic functional annotation pipeline with distributed computing compatibility and flexible customization options. MetaLAFFA source code is available at https://github.com/borenstein-lab/MetaLAFFA and can be installed via Conda as described in the accompanying documentation.
ArticleNumber 471
Audience Academic
Author Eng, Alexander
Verster, Adrian J.
Borenstein, Elhanan
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Cites_doi 10.1093/nar/gky1049
10.1186/s13059-015-0610-8
10.1038/nmeth.3176
10.1038/nature11450
10.1038/nbt.3935
10.1038/s41564-018-0337-x
10.1038/nature11234
10.1038/nature15393
10.1128/AAC.00419-13
10.1093/molbev/msx148
10.1186/s40168-017-0231-4
10.1038/s41592-018-0176-y
10.1007/978-1-4939-3369-3_13
10.1371/journal.pone.0105776
10.1093/nar/gkv1070
10.1038/nmeth.1923
10.1093/gigascience/giy072
10.1093/bioinformatics/btu170
10.1016/j.cell.2019.05.004
10.1093/bioinformatics/bts480
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Issue 1
Keywords Functional annotation
Metagenomics
Distributed computing
Pipeline
Language English
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References A Visconti (3815_CR23) 2018; 7
J Qin (3815_CR16) 2012; 490
The UniProt Consortium (3815_CR21) 2019; 47
M Kanehisa (3815_CR9) 2015; 44
R Carr (3815_CR4) 2014; 9
B Langmead (3815_CR12) 2012; 9
O Manor (3815_CR13) 2015; 16
J Koster (3815_CR11) 2012; 28
JS Ghurye (3815_CR7) 2016; 89
C Quince (3815_CR17) 2017; 35
AG McArthur (3815_CR15) 2013; 57
1000 Genomes Project Consortium (3815_CR1) 2015; 526
The Human Microbiome Project Consortium (3815_CR20) 2012; 486
B Buchfink (3815_CR3) 2014; 12
GGZ Silva (3815_CR19) 2015; 32
M Valles-Colomer (3815_CR22) 2019; 1
O Manor (3815_CR14) 2017; 5
AM Bolger (3815_CR2) 2014; 30
KP Keegan (3815_CR10) 2016
J Huerta-Cepas (3815_CR8) 2017; 34
3815_CR5
EA Franzosa (3815_CR6) 2018; 15
G Sharon (3815_CR18) 2019; 177
References_xml – volume: 89
  start-page: 353
  issue: 3
  year: 2016
  ident: 3815_CR7
  publication-title: Yale J Biol Med
– volume: 47
  start-page: D506
  issue: D1
  year: 2019
  ident: 3815_CR21
  publication-title: Nucleic Acids Res
  doi: 10.1093/nar/gky1049
– volume: 16
  start-page: 53
  issue: 1
  year: 2015
  ident: 3815_CR13
  publication-title: Genome Biol
  doi: 10.1186/s13059-015-0610-8
– volume: 12
  start-page: 59
  issue: 1
  year: 2014
  ident: 3815_CR3
  publication-title: Nat Methods
  doi: 10.1038/nmeth.3176
– volume: 490
  start-page: 55
  issue: 7418
  year: 2012
  ident: 3815_CR16
  publication-title: Nature
  doi: 10.1038/nature11450
– volume: 35
  start-page: 833
  issue: 9
  year: 2017
  ident: 3815_CR17
  publication-title: Nat Biotechnol
  doi: 10.1038/nbt.3935
– volume: 1
  start-page: 623
  year: 2019
  ident: 3815_CR22
  publication-title: Nat Microbiol
  doi: 10.1038/s41564-018-0337-x
– volume: 486
  start-page: 207
  issue: 7402
  year: 2012
  ident: 3815_CR20
  publication-title: Nature
  doi: 10.1038/nature11234
– volume: 526
  start-page: 68
  issue: 7571
  year: 2015
  ident: 3815_CR1
  publication-title: Nature
  doi: 10.1038/nature15393
– volume: 57
  start-page: 3348
  issue: 7
  year: 2013
  ident: 3815_CR15
  publication-title: Antimicrob Agents Chemother
  doi: 10.1128/AAC.00419-13
– volume: 32
  start-page: btv584
  issue: 3
  year: 2015
  ident: 3815_CR19
  publication-title: Bioinformatics
– volume: 34
  start-page: 2115
  issue: 8
  year: 2017
  ident: 3815_CR8
  publication-title: Mol Biol Evol
  doi: 10.1093/molbev/msx148
– volume: 5
  start-page: 19
  issue: 1
  year: 2017
  ident: 3815_CR14
  publication-title: Microbiome
  doi: 10.1186/s40168-017-0231-4
– volume: 15
  start-page: 962
  issue: 11
  year: 2018
  ident: 3815_CR6
  publication-title: Nat Methods
  doi: 10.1038/s41592-018-0176-y
– start-page: 207
  volume-title: Microbial environmental genomics (MEG). Methods in molecular biology
  year: 2016
  ident: 3815_CR10
  doi: 10.1007/978-1-4939-3369-3_13
– volume: 9
  start-page: e105776
  issue: 8
  year: 2014
  ident: 3815_CR4
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0105776
– volume: 44
  start-page: D457
  issue: D1
  year: 2015
  ident: 3815_CR9
  publication-title: Nucleic Acids Res
  doi: 10.1093/nar/gkv1070
– volume: 9
  start-page: 357
  issue: 4
  year: 2012
  ident: 3815_CR12
  publication-title: Nat Methods
  doi: 10.1038/nmeth.1923
– volume: 7
  start-page: giy072
  issue: 7
  year: 2018
  ident: 3815_CR23
  publication-title: GigaScience
  doi: 10.1093/gigascience/giy072
– volume: 30
  start-page: 2114
  issue: 15
  year: 2014
  ident: 3815_CR2
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btu170
– ident: 3815_CR5
– volume: 177
  start-page: 1600
  issue: 6
  year: 2019
  ident: 3815_CR18
  publication-title: Cell
  doi: 10.1016/j.cell.2019.05.004
– volume: 28
  start-page: 2520
  issue: 19
  year: 2012
  ident: 3815_CR11
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bts480
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Snippet Background Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined...
Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined via...
Background Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often examined...
Abstract Background Microbial communities have become an important subject of research across multiple disciplines in recent years. These communities are often...
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SubjectTerms Algorithms
Annotations
Antibiotics
Bioinformatics
Biomedical and Life Sciences
Computational Biology/Bioinformatics
Computer Appl. in Life Sciences
Computer networks
Customization
Distributed computing
Distributed processing
Drug resistance
Functional annotation
Genes
Genomes
Humans
Integration
Life Sciences
Metagenomics
Metagenomics - methods
Microarrays
Microbial activity
Microbiota
Microorganisms
Pipeline
Pipeline design
Pipelines
Quality control
Sequence analysis
Software
Source code
Type 2 diabetes
Workflow software
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Title MetaLAFFA: a flexible, end-to-end, distributed computing-compatible metagenomic functional annotation pipeline
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