Using Comparative Genomics & RNA Structure to Find RNA Editing Sites
نویسندگان
چکیده
منابع مشابه
Nervous system targets of RNA editing identified by comparative genomics.
An unknown number of precursor messenger RNAs undergo genetic recoding by modification of adenosine to inosine, a reaction catalyzed by the adenosine deaminases acting on RNA (ADARs). Discovery of these edited transcripts has always been serendipitous. Using comparative genomics, we identified a phylogenetic signature of RNA editing. We report the identification and experimental verification of...
متن کاملSequence based identification of RNA editing sites.
RNA editing diversifies the human transcriptome beyond the genomic repertoire. Recent years have proven a strategy based on genomics and computational sequence analysis as a powerful tool for identification and characterization of RNA editing. In particular, analysis of the human transcriptome has resulted in the identification of thousands of A-to-I editing sites within genomic repeats, as wel...
متن کاملComputational prediction of RNA editing sites
MOTIVATION Some organisms edit their messenger RNA resulting in differences between the genomic sequence for a gene and the corresponding messenger RNA sequence. This difference complicates experimental and computational attempts to find and study genes in organisms with RNA editing even if the full genomic sequence is known. Nevertheless, knowledge of these editing sites is crucial for underst...
متن کاملRNA Editing RNA
RNA Editing RNA editing is a term used to describe a diverse set of phenomena in which mRNA, rRNA, and tRNA transcripts are modified in sequence after transcription. The types of RNA editing vary from uridine (U) or cytidine (C) insertions and deletions within coding regions of mitochondrial mRNAs to the substitution of specific C residues with U residues in plant mitochondrial mRNAs or the sub...
متن کاملStructure-based prediction of RNA-binding domains and RNA-binding sites and application to structural genomics targets
Mechanistic understanding of many key cellular processes often involves identification of RNA binding proteins (RBPs) and RNA binding sites in two separate steps. Here, they are predicted simultaneously by structural alignment to known protein-RNA complex structures followed by binding assessment with a DFIRE-based statistical energy function. This method achieves 98% accuracy and 91% precision...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2005
ISSN: 1471-2105
DOI: 10.1186/1471-2105-6-s3-p6