Giter VIP home page Giter VIP logo

biobakery_mqb's Introduction

bioBakery tools for meta'omic profiling

Welcome to the bioBakery tools and tutorials wiki, which provides software, documentation, and tutorials for methods for microbial community profiling developed by the Huttenhower lab. Most tools are supported both as individual software packages (typically Python or R) and within the bioBakery virtual image, a pre-built platform that provides meta'omic analysis tools already installed with dependencies and configuration. For the integrated bioBakery virtual environment, please click on the button below for more information:

image

If you use bioBakery in your work, please cite the paper:

McIver LJ, Abu-Ali G, Franzosa EA, Schwager R, Morgan XC, Waldron L, Segata N, Huttenhower C. bioBakery: a meta'omic analysis environment. Bioinformatics. 2018 Apr 1;34(7):1235-1237. PMID: 29194469

Microbial community profiling

This set of methods generally provide reference-based profiles of microbial community features, e.g. taxonomic abundances (MetaPhlAn) or functional profiles (genes and/or pathways, HUMAnN). They apply broadly to sequence-based data (metagenomes and metatranscriptomes), with some methods applying to other types of culture-independent molecular data. Please click individual links for detailed tutorials:

HUMAnN2 MetaPhlAn PhyloPhlAn PICRUSt ShortBRED PPANINI StrainPhlAn MelonnPan WAAFLE.png MetaWIBELE.png macarron.pngFUGAsseM.png

Downstream analysis and statistics

The methods in this section generally provide quantitative models for interpreting microbial community profiles as generated by the methods above. For example, this includes identifying significant associations of sample metadata (phenotype, environment, health status, etc.) with microbial taxonomic or functional composition. Please click on the links below for detailed tutorials:

HAllA ARepA CCREPE LEfSe MaAsLin MMUPHin microPITA SparseDOSSA BAN

Infrastructure and utilities

GraPhlAn KneadData AnADAMA workflows


Notes

biobakery_mqb's People

Contributors

ljmciver avatar rschwager avatar sagun98 avatar amrishabhosle avatar zhangycbnu avatar kelsthom13 avatar franzosa avatar tbranck28 avatar mpaull avatar andrewghazi avatar chuttenh avatar kescobo avatar pandapip1 avatar fasnicar avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.