作者: Philipp Berninger , Dimos Gaidatzis , Erik van Nimwegen , Mihaela Zavolan
DOI: 10.1016/J.YMETH.2007.10.002
关键词: Computational biology 、 microRNA 、 Biology 、 Genetics 、 Computational analysis 、 Small RNA 、 Oligonucleotide Microarray 、 Annotation 、 Deep sequencing 、 Fast algorithm 、 Gene expression profiling 、 General Biochemistry, Genetics and Molecular Biology 、 Molecular biology
摘要: Cloning and sequencing is the method of choice for small regulatory RNA identification. Using deep technologies one can now obtain up to a billion nucleotides--and tens millions RNAs--from single library. Careful computational analyses such libraries enabled discovery miRNAs, rasiRNAs, piRNAs, 21U RNAs. Given large number sequences that be obtained from each individual sample, may soon become an alternative oligonucleotide microarray technology mRNA expression profiling. In this report we present methods developed annotation profiling RNAs through large-scale sequencing. These include fast algorithm finding nearly perfect matches in sequence databases, web-accessible software system libraries, Bayesian comparing across samples.