The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences

被引:28
|
作者
Riehle, Kevin
Coarfa, Cristian
Jackson, Andrew
Ma, Jun
Tandon, Arpit
Paithankar, Sameer
Raghuraman, Sriram
Mistretta, Toni-Ann
Saulnier, Delphine [2 ]
Raza, Sabeen
Diaz, Maria Alejandra
Shulman, Robert [1 ]
Aagaard, Kjersti
Versalovic, James
Milosavljevic, Aleksandar [1 ]
机构
[1] Baylor Coll Med, Dept Pediat, Houston, TX 77030 USA
[2] Nizo Food Res, NL-6710 BA Ede, Netherlands
来源
BMC BIOINFORMATICS | 2012年 / 13卷
关键词
COMMUNITIES;
D O I
10.1186/1471-2105-13-S13-S11
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Microbial metagenomic analyses rely on an increasing number of publicly available tools. Installation, integration, and maintenance of the tools poses significant burden on many researchers and creates a barrier to adoption of microbiome analysis, particularly in translational settings. Methods: To address this need we have integrated a rich collection of microbiome analysis tools into the Genboree Microbiome Toolset and exposed them to the scientific community using the Software-as-a-Service model via the Genboree Workbench. The Genboree Microbiome Toolset provides an interactive environment for users at all bioinformatic experience levels in which to conduct microbiome analysis. The Toolset drives hypothesis generation by providing a wide range of analyses including alpha diversity and beta diversity, phylogenetic profiling, supervised machine learning, and feature selection. Results: We validate the Toolset in two studies of the gut microbiota, one involving obese and lean twins, and the other involving children suffering from the irritable bowel syndrome. Conclusions: By lowering the barrier to performing a comprehensive set of microbiome analyses, the Toolset empowers investigators to translate high-volume sequencing data into valuable biomedical discoveries.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences
    Kevin Riehle
    Cristian Coarfa
    Andrew Jackson
    Jun Ma
    Arpit Tandon
    Sameer Paithankar
    Sriram Raghuraman
    Toni-Ann Mistretta
    Delphine Saulnier
    Sabeen Raza
    Maria Alejandra Diaz
    Robert Shulman
    Kjersti Aagaard
    James Versalovic
    Aleksandar Milosavljevic
    [J]. BMC Bioinformatics, 13
  • [2] Phylogenetic Clustering of Soil Microbial Communities by 16S rRNA but Not 16S rRNA Genes
    DeAngelis, Kristen M.
    Firestone, Mary K.
    [J]. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2012, 78 (07) : 2459 - 2461
  • [3] Analysis of 16S rRNA environmental sequences using MEGAN
    Suparna Mitra
    Mario Stärk
    Daniel H Huson
    [J]. BMC Genomics, 12
  • [4] Analysis of 16S rRNA environmental sequences using MEGAN
    Mitra, Suparna
    Staerk, Mario
    Huson, Daniel H.
    [J]. BMC GENOMICS, 2011, 12
  • [5] Metaproteomic and 16S rRNA Gene Sequencing Analysis of the Infant Fecal Microbiome
    Cortes, Laetitia
    Wopereis, Harm
    Tartiere, Aude
    Piquenot, Julie
    Gouw, Joost W.
    Tims, Sebastian
    Knol, Jan
    Chelsky, Daniel
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 20 (06)
  • [6] Azospirillum phylogeny based on 16S rRNA sequences
    Bally, R
    Kabir, M
    Rahman, M
    Haurat, J
    Normand, P
    [J]. BIOLOGICAL NITROGEN FIXATION ASSOCIATED WITH RICE PRODUCTION, 1996, 70 : 225 - 229
  • [7] High- resolution microbiome analysis enabled by linking of 16S rRNA gene sequences with adjacent genomic contexts
    Kapustina, Zana
    Medziune, Justina
    Alzbutas, Gediminas
    Rokaitis, Irmantas
    Matjosaitis, Karolis
    Mackevicius, Gytis
    Zeimyte, Simona
    Karpus, Laurynas
    Lubys, Arvydas
    [J]. MICROBIAL GENOMICS, 2021, 7 (09):
  • [8] Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
    Langille, Morgan G. I.
    Zaneveld, Jesse
    Caporaso, J. Gregory
    McDonald, Daniel
    Knights, Dan
    Reyes, Joshua A.
    Clemente, Jose C.
    Burkepile, Deron E.
    Thurber, Rebecca L. Vega
    Knight, Rob
    Beiko, Robert G.
    Huttenhower, Curtis
    [J]. NATURE BIOTECHNOLOGY, 2013, 31 (09) : 814 - +
  • [9] Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
    Morgan G I Langille
    Jesse Zaneveld
    J Gregory Caporaso
    Daniel McDonald
    Dan Knights
    Joshua A Reyes
    Jose C Clemente
    Deron E Burkepile
    Rebecca L Vega Thurber
    Rob Knight
    Robert G Beiko
    Curtis Huttenhower
    [J]. Nature Biotechnology, 2013, 31 : 814 - 821
  • [10] Comparative analysis of 16S and 23S rRNA sequences of Listeria species
    Sallen, B
    Rajoharison, A
    Desvarenne, S
    Quinn, F
    Mabilat, C
    [J]. INTERNATIONAL JOURNAL OF SYSTEMATIC BACTERIOLOGY, 1996, 46 (03): : 669 - 674