https://github.com/juke34/gepard

Genome Pair Rapid Dotter

https://github.com/juke34/gepard

Science Score: 13.0%

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  • CITATION.cff file
  • codemeta.json file
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  • DOI references
    Found 2 DOI reference(s) in README
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    Low similarity (8.7%) to scientific vocabulary
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Genome Pair Rapid Dotter

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Created over 4 years ago · Last pushed over 4 years ago

https://github.com/Juke34/gepard/blob/master/

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Gepard
===========================
Genome Pair Rapid Dotter (gepard)


## Table of Contents

   * [Introduction](#introduction)
   * [Installation](#installation)
     * [Using Docker](#using-docker)
     * [Using Conda](#using-conda)  
   * [Cite](#cite)


## Introduction

Gepard provides a user-friendly, interactive application for the quick creation of dotplots. It utilizes suffix arrays to reduce the time complexity of dotplot calculation to Theta(m*log n). A client-server mode, which is a novel feature for dotplot creation software, allows the user to calculate dotplots and color them by functional annotation without any prior downloading of sequence or annotation data.

## Installation

### Using Docker

First you must have [Docker](https://docs.docker.com/get-docker/) installed and running.  
Secondly have look at the availabe Gepard containers at https://quay.io/repository/biocontainers/gepard?tab=tags.  
Then:
  ```
# get the chosen AGAT version
docker pull quay.io/biocontainers/gepard:2.1.0--hdfd78af_0
# use an AGAT's tool e.g. agat_convert_sp_gxf2gxf
docker run quay.io/biocontainers/gepard:2.1.0--hdfd78af_0 gepardcmd
  ```

### Using Conda

  ```
  # create gepard environment and install gepard
  conda create --name gepard -c bioconda gepard
  # activate gepard environment
  conda activate gepard
  # run gepard
  gepardcmd
  ```

## Cite
Jan Krumsiek, Roland Arnold, Thomas Rattei, Gepard: a rapid and sensitive tool for creating dotplots on genome scale, Bioinformatics, Volume 23, Issue 8, 15 April 2007, Pages 10261028, https://doi.org/10.1093/bioinformatics/btm039

Owner

  • Name: Jacques Dainat
  • Login: Juke34
  • Kind: user
  • Location: Montpellier, France
  • Company: IRD

Bioinformatician at IRD

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