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Brain RNA-Seq [160] An RNA-Seq transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex. FusionCancer [161] a database of cancer fusion genes derived from RNA-seq data. Hipposeq a comprehensive RNA-seq database of gene expression in hippocampal principal neurons.
EzTaxon-e: database for the identification of prokaryotes based on 16S ribosomal RNA gene sequences NCBI Taxonomy: a taxonomic database operated by NCBI and concentrating on all taxa for which DNA sequences are available (those sequences are stored by GenBank , another database operated by NCBI).
A catalog of human long poly-adenylated RNA transcripts derived from computational analysis of high-throughput RNA-Seq data from over 6,500 samples, spanning diverse cancer and tissue types [13] slncky Evolution Browser: This site contains alignments and evolutionary metrics of conserved lncRNAs. [14] Cancer LncRNA Census (CLC)
The fundamental aspect of BRB-seq is the optimized sample barcode primers. Each barcoded nucleotide sequence includes an adaptor for primer annealing, a 14-nt long barcode that assigns a unique identifier to each individual RNA sample, and a random 14-nt long UMI that tags each mRNA molecule with a unique sequence to distinguish between original mRNA transcripts and duplicates that result from ...
RNA-Seq can also be used to determine exon/intron boundaries and verify or amend previously annotated 5' and 3' gene boundaries. Recent advances in RNA-Seq include single cell sequencing, bulk RNA sequencing, [6] 3' mRNA-sequencing, in situ sequencing of fixed tissue, and native RNA molecule sequencing with single-molecule real-time sequencing. [7]
Name Description Knots [Note 1]Links References trRosettaRNA: trRosettaRNA is an algorithm for automated prediction of RNA 3D structure. It builds the RNA structure by Rosetta energy minimization, with deep learning restraints from a transformer network (RNAformer). trRosettaRNA has been validated in blind tests, including CASP15 and RNA-Puzzles, which suggests that the automated predictions ...
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