GithubHelp home page GithubHelp logo

akshayayadav / hmmsearch-hmmscan-family-merging Goto Github PK

View Code? Open in Web Editor NEW
1.0 2.0 0.0 7 KB

Container for HMMSEARCH-HMMSCAN based family merging workflow

Dockerfile 1.81% Python 95.99% Shell 2.20%

hmmsearch-hmmscan-family-merging's Introduction

Tool for HMMSEARCH-HMMSCAN-based gene-family merging

This container contains the application for merging gene-families using a novel two-way HMMSEARCH-HMMSCAN search procedure. Each given family is searched against a combined database of all family sequences and the desired outgroup sequences, to find the candidate missing sequences for the family. The candidate missing sequences reverse searched against the combined database of family HMMs, and the sequences that find the original family as the best match are predicted missing sequences for the family. Finally, the predicted missing sequences from all the families are used to merge under-clustered families.

  1. Downloading the container

docker pull akshayayadav/hmmsearch-hmmscan-family-merging
  1. Preparing the data

Create a data directory <my_directory> with a user defined name. This directory MUST contain 3 items: family_fasta directory containing all the fasta files for the user-defined gene families, a family-outgroup-sequences.fa fasta file containing sequences from all the families and sequences from all the desired outgroups and a outgroups.list file listing the names of all the outgroup species (one per line) present in the family-outgroup-sequences.fa file. All the outgroup sequence headers in the family-outgroup-sequences.fa file MUST be prefixed with the respective outgroup species names present in outgroups.list file.

  1. Running the analysis

Once the data is ready execute the workflow using the following command

docker run -v <absolute_path_to_the_data_directory>:/data akshayayadav/hmmsearch-hmmscan-family-merging run_analysis.sh

hmmsearch-hmmscan-family-merging's People

Contributors

akshayayadav avatar

Stargazers

 avatar

Watchers

James Cloos avatar  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.