Giter Site home page Giter Site logo

ra's Introduction

Ra

Build status for c++/clang++

Overlap-layout-consensus based DNA assembler of long uncorrected reads (short for Rapid Assembler).

Description

Ra is as a fast and easy to use assembler for raw reads generated by third generation sequencing. It consists of Minimap2, Rala and Racon as depicted on figure bellow.

Ra takes as input a single file containing raw reads in FASTA/FASTQ format (can be compressed with gzip) and outputs a set of contigs with high accuracy in FASTA format to stdout. Additionally, a file containing second generation sequences in FASTA/FASTQ format (can be compressed with gzip) can be passed as second argument in order to polish the final assembly.

Ra flow chart

Dependencies

  1. gcc 4.8+ or clang 3.4+
  2. cmake 3.2+

Installation

To install Ra run to following commands:

git clone --recursive https://github.com/rvaser/ra.git ra
cd ra
mkdir build
cd build
cmake -DCMAKE_BUILD_TYPE=Release ..
make

After successful installation, an executable named ra will appear in build/bin.

Note: if you omitted --recursive from git clone, run git submodule update --init --recursive before proceeding with compilation.

Usage

Usage of ra is as following:

ra [options ...] -x {ont, pb} <sequences> [<ngs_sequences>]

    <sequences>
        input file in FASTA/FASTQ format (can be compressed with gzip)
        containing third generation sequencing reads
    <ngs_sequences>
        input file in FASTA/FASTQ format (can be compressed with gzip)
        containing next generation sequencing reads

    required arguments:
        -x {ont, pb}
            sequencing technology of input sequences

    options:
        -t, --threads <int>
            default: 1
            number of threads
        --version
            prints the version number
        -h, --help
            prints the usage

Contact information

For additional information, help and bug reports please send an email to: [email protected].

Acknowledgement

This work has been supported in part by Croatian Science Foundation under the project UIP-11-2013-7353.

ra's People

Contributors

rvaser 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.