Parallel computation of genome-scale RNA secondary structure to detect structural constraints on human genome

Background RNA secondary structure around splice sites is known to assist normal splicing by promoting spliceosome recognition. However, analyzing the structural properties of entire intronic regions or pre-mRNA sequences has been difficult hitherto, owing to serious experimental and computational l...

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Veröffentlicht in:	BMC bioinformatics Jg. 17; H. 1; S. 203
Hauptverfasser:	Kawaguchi, Risa, Kiryu, Hisanori
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 06.05.2016 BioMed Central Ltd Springer Nature B.V
Schlagworte:	Algorithms Animals Area Under Curve Base Sequence Bioinformatics Biomedical and Life Sciences Computational Biology - methods Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer Simulation Gene expression Gene Ontology Genome, Human Human genome Humans Life Sciences Methodology Methodology Article Mice Microarrays Microfilament Proteins - metabolism Nucleic Acid Conformation Physiological aspects Propensity Score Reproducibility of Results RNA RNA - chemistry RNA - genetics RNA Precursors - genetics RNA Precursors - metabolism RNA Splicing - genetics RNA, Messenger - genetics RNA, Messenger - metabolism Sequence analysis (methods) Software Structure Transcription, Genetic Japan Parallel computation Intron Splicing RNA secondary structure prediction PARS
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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