https://github.com/lpantano/seqbuster

pipeline for the analysis of small RNA data
https://github.com/lpantano/seqbuster

Last synced: 2 months ago
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pipeline for the analysis of small RNA data

• Host: GitHub
• URL: https://github.com/lpantano/seqbuster
• Owner: lpantano
• Created: 2013-10-24T09:28:28.000Z (over 11 years ago)
• Default Branch: miraligner
• Last Pushed: 2019-06-24T19:23:29.000Z (almost 6 years ago)
• Last Synced: 2025-03-25T07:41:27.772Z (3 months ago)
• Language: Java
• Size: 31.4 MB
• Stars: 14
• Watchers: 3
• Forks: 3
• Open Issues: 9
• Metadata Files:
  • Readme: README.md

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README

        
seqbuster

=========

**Please, be aware that the user friendly interface is desecrated. SeqBuster only keeps updated `miraligner` as an independent file.**

[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)

Read how to annotate miRNAs/isomiRs from fastq files in [our documentation page](https://seqcluster.readthedocs.io/mirna_annotation.html).

Validators of the latest versions are [here](validator/stats_isomirs.md).

Some comparison between many tools [here](https://github.com/lpantano/mypubs/blob/master/mirna/mirannotation/stats.md).

## Download

Click [here](https://github.com/lpantano/seqbuster/raw/miraligner/miraligner/miraligner-3.4/miraligner.jar)

## Cite

SeqBuster is a bioinformatic tool for the processing and analysis of small RNAs datasets, reveals ubiquitous miRNA modifications in human embryonic cells. Pantano L, Estivill X, Martí E. Nucleic Acids Res. 2010 Mar;38(5):e34. Epub 2009 Dec 11.

## See also

Other tools related to small RNA analysis.

*  R package [isomiRs](http://github.com/lpantano/isomiRs) to visualize isomiRs and miRNA abundances in a group of samples (**new**)

* [seqcluster](https://seqcluster.readthedocs.io) analyzes the rest of small RNAs and annotate to multiple databases in bed format (**new**)

__The development of Seqbuster was partly funded by the EU Seventh Framework Programme [FP7/2007-2013, grant number 262055, ESGI]. http://www.esgi-infrastructure.eu/__