Small RNA-seq pipeline
Project description
seqcluster
Ask questions in the repo's Gitter: Join the chat at:
.. image:: https://badges.gitter.im/Join%20Chat.svg :target: https://gitter.im/lpantano/seqcluster
small RNA analysis from NGS data
.. image:: https://travis-ci.org/lpantano/seqcluster.png?branch=master :target: https://travis-ci.org/lpantano/seqcluster
.. image:: https://badge.fury.io/py/seqcluster.svg :target: http://badge.fury.io/py/seqcluster
.. image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat-square :target: http://bioconda.github.io
.. image:: https://anaconda.org/bioconda/seqcluster/badges/downloads.svg :target: https://anaconda.org/bioconda/seqcluster
.. image:: https://img.shields.io/pypi/l/seqcluster.svg :target: https://github.com/lpantano/seqcluster/blob/master/LICENSE
.. image:: http://www.repostatus.org/badges/latest/active.svg :alt: Project Status: Active - The project has reached a stable, usable state and is being actively developed. :target: http://www.repostatus.org/#active
.. image:: https://img.shields.io/badge/DOI-10.1093%2Fbioinformatics%2Fbtv632-lightgrey.svg?style=flat-square :target: https://doi.org/10.1093/bioinformatics/btv632
Cite
Specific small-RNA signatures in the amygdala at premotor and motor stages of Parkinson's disease revealed by deep sequencing analysis. Pantano L, Friedländer MR, Escaramís G, Lizano E, Pallarès-Albanell J, Ferrer I, Estivill X, Martí E.
Bioinformatics. 2015 Nov 2. pii: btv632. [Epub ahead of print]
PMID: 26530722 <http://www.ncbi.nlm.nih.gov/pubmed/26530722>
_
A non-biased framework for the annotation and classification of the non-miRNA small RNA transcriptome.
Pantano L1, Estivill X, Martí E. Bioinformatics. 2011 Nov 15;27(22):3202-3. doi: 10.1093/bioinformatics/btr527. Epub 2011 Oct 5.
PMID: 21976421 <http://www.ncbi.nlm.nih.gov/pubmed/21976421>
_
Quick start links
See installation at http://seqcluster.readthedocs.org/installation.html
Moreover bcbio-nextgen
_ provides
a python framework to run a whole pipeline for small RNA (miRNA + tRNA + piRNA + others).
.. _bcbio-nextgen: https://bcbio-nextgen.readthedocs.org/en/latest/
An example of how to run with bcbio is here: http://seqcluster.readthedocs.org/example_pipeline.html#mirqc-data
In case you want to use seqcluster alone, a complete tutorial is here: http://seqcluster.readthedocs.org/getting_started.html#clustering-of-small-rna-sequences
Report
Seqcluster creates html report that looks like this
. That is a table of all cluster detected, and you
can go into each of them and get a complete description
with profile expression figures, annotation details and
sequences counts for each sample. An interactive report is as well available to explore the expression profile,
position on the genome and secondary structure. Learn more http://seqcluster.readthedocs.org/more_outputs.html#report.
.. _this: https://rawgit.com/lpantano/seqcluster/master/data/examples_report/html/index.html .. _description: https://rawgit.com/lpantano/seqcluster/master/data/examples_report/html/1/maps.html
Contributors
Lorena Pantano <https://github.com/lpantano>
_ (Bioinformatic Core, Harvard Chan School, Boston, USA)Judith Flo Gaya <http://www.seas.harvard.edu/directory/jflo>
_ (School of Engineer and Aplied Science- Harvard University, Boston, USA)Eulalia Marti Puig <http://www.crg.eu/en/group-members/eul%C3%A0lia-mart%C3%AD-puig>
_ (Genomics and Disease, Center of Genomic Regulation, Barcelona, Spain)- Francisco Pantano Rubino: Architect
Steffen Möller <https://github.com/smoe>
_ (University of Rostock)
.. image:: https://d2weczhvl823v0.cloudfront.net/lpantano/seqcluster/trend.png :alt: Bitdeli badge :target: https://bitdeli.com/free
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file seqcluster-1.2.6a0.tar.gz
.
File metadata
- Download URL: seqcluster-1.2.6a0.tar.gz
- Upload date:
- Size: 91.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a4c9f2e4d1954374e07bdab9e06cd725aaf0f72156b5dfd1276d95f9a036f564 |
|
MD5 | 133c1c9e65cc56b1080dbea392bb37ea |
|
BLAKE2b-256 | 5c43121a122393aabf2f97f5e0186411d7fc9e41e2517491ddb2d192b673856a |