Giter Site home page Giter Site logo

tami's Introduction

TaMI : Targeted Mutation Identification

TaMI, is a k-mer base variant caller that directly scan raw FASTQ files and looks for variants without alignement by using a dictionnary of mutated k-mers constructed for specific targets.

TaMI looks for all possible single nucleotide mutations (1-nt indels as well) only on the targeted regions. TaMI is very fast, a whole human exome can be scan within a minute in a single thread. TaMI memory load depend on the size of the indexed target regions.

Installation

  • Clone tami repositiory
  • run make to compile tami
  • place the tami binary somewhere accessible from your $PATH.

Usage

First you need to create a TAM files, wich is a dictionnary of mutated k-mers composed of all possible mutation in the targets (bed file).

tami build -r reference.fasta -o file.tam file.bed

Then you need to scan FASTQ files to look for mutations indexed in the TAM.

tami scan file.tam reads_1.fastq.gz reads_2.fastq.gz > output.vcf

Authors

Jérôme Audoux, Alexandre Soriano.

tami's People

Contributors

alexandre-so avatar jaudoux avatar

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.