Cargando…
SHARAKU: an algorithm for aligning and clustering read mapping profiles of deep sequencing in non-coding RNA processing
Motivation: Deep sequencing of the transcripts of regulatory non-coding RNA generates footprints of post-transcriptional processes. After obtaining sequence reads, the short reads are mapped to a reference genome, and specific mapping patterns can be detected called read mapping profiles, which are...
Autores principales: | Tsuchiya, Mariko, Amano, Kojiro, Abe, Masaya, Seki, Misato, Hase, Sumitaka, Sato, Kengo, Sakakibara, Yasubumi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908357/ https://www.ncbi.nlm.nih.gov/pubmed/27307639 http://dx.doi.org/10.1093/bioinformatics/btw273 |
Ejemplares similares
-
What time is it? Deep learning approaches for circadian rhythms
por: Agostinelli, Forest, et al.
Publicado: (2016) -
DrugE-Rank: improving drug–target interaction prediction of new candidate drugs or targets by ensemble learning to rank
por: Yuan, Qingjun, et al.
Publicado: (2016) -
A convex optimization approach for identification of human tissue-specific interactomes
por: Mohammadi, Shahin, et al.
Publicado: (2016) -
Fast metabolite identification with Input Output Kernel Regression
por: Brouard, Céline, et al.
Publicado: (2016) -
Jumping across biomedical contexts using compressive data fusion
por: Zitnik, Marinka, et al.
Publicado: (2016)