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small RNA analysis from NGS data
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
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
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).
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
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.
- Lorena Pantano (Bioinformatic Core, Harvard Chan School, Boston, USA)
- Judith Flo Gaya (School of Engineer and Aplied Science- Harvard University, Boston, USA)
- Eulalia Marti Puig (Genomics and Disease, Center of Genomic Regulation, Barcelona, Spain)
- Francisco Pantano Rubino: Architect
- Steffen Möller (University of Rostock)
