bioBakery: a meta'omic analysis environment
| Autor: | Lauren J. McIver, Levi Waldron, Xochitl C. Morgan, Eric A. Franzosa, Nicola Segata, Curtis Huttenhower, Galeb Abu-Ali, Randall Schwager |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Statistics and Probability Source code Computer science media_common.quotation_subject computer.software_genre Biochemistry Workflow 03 medical and health sciences Software Molecular Biology media_common Database business.industry Shotgun sequencing Microbiota Reproducibility of Results Computer Science Applications1707 Computer Vision and Pattern Recognition Omics Applications Notes Computer Science Applications Computational Theory and Mathematics Computational Mathematics 030104 developmental biology Microbial population biology Virtual machine Metagenomics business computer Sequence Analysis |
| Zdroj: | Bioinformatics |
| ISSN: | 1367-4811 |
| Popis: | Summary bioBakery is a meta’omic analysis environment and collection of individual software tools with the capacity to process raw shotgun sequencing data into actionable microbial community feature profiles, summary reports, and publication-ready figures. It includes a collection of pre-configured analysis modules also joined into workflows for reproducibility. Availability and implementation bioBakery (http://huttenhower.sph.harvard.edu/biobakery) is publicly available for local installation as individual modules and as a virtual machine image. Each individual module has been developed to perform a particular task (e.g. quantitative taxonomic profiling or statistical analysis), and they are provided with source code, tutorials, demonstration data, and validation results; the bioBakery virtual image includes the entire suite of modules and their dependencies pre-installed. Images are available for both Amazon EC2 and Google Compute Engine. All software is open source under the MIT license. bioBakery is actively maintained with a support group at biobakery-users@googlegroups.com and new tools being added upon their release. Supplementary information Supplementary data are available at Bioinformatics online. |
| Databáze: | OpenAIRE |
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