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The FAST4 format was invented as a derivative of the FASTQ format where each of the 4 bases (A,C,G,T) had separate probabilities stored. It was part of the Swift basecaller, an open source package for primary data analysis on next-gen sequence data "from images to basecalls". The FAST5 format was invented as an extension of the FAST4 format.
RNA-Seq (named as an abbreviation of RNA sequencing) is a technique that uses next-generation sequencing to reveal the presence and quantity of RNA molecules in a biological sample, providing a snapshot of gene expression in the sample, also known as transcriptome. [2] [3]
Currently RNA-Seq relies on copying RNA molecules into cDNA molecules prior to sequencing; therefore, the subsequent platforms are the same for transcriptomic and genomic data. Consequently, the development of DNA sequencing technologies has been a defining feature of RNA-Seq. [ 78 ] [ 80 ] [ 81 ] Direct sequencing of RNA using nanopore ...
seq2HLA is an annotation tool for obtaining an individual's HLA class I and II type and expression using standard NGS RNA-Seq data in fastq format. It comprises mapping RNA-Seq reads against a reference database of HLA alleles using bowtie, determining and reporting HLA type, confidence score and locus-specific expression level.
A good example of this is the Gene Expression Omnibus (GEO) from NCBI or ArrayExpress from EBI. A specialized repository associated primarily with the brand of a particular entity (lab, company, university, consortium, group), an application suite, a topic, or an analysis method, whether it is commercial, non-profit, or academic.
The Reference Sequence (RefSeq) database [1] is an open access, annotated and curated collection of publicly available nucleotide sequences (DNA, RNA) and their protein products. RefSeq was introduced in 2000.
Gene Expression Omnibus (GEO) is a database for gene expression profiling and RNA methylation profiling managed by the National Center for Biotechnology Information (NCBI). [1] These high-throughput screening genomics data are derived from microarray or RNA-Seq experimental data. [2]
Stockholm format is a multiple sequence alignment format used by Pfam, Rfam and Dfam, to disseminate protein, RNA and DNA sequence alignments. [ 1 ] [ 2 ] [ 3 ] The alignment editors Ralee , [ 4 ] Belvu and Jalview support Stockholm format as do the probabilistic database search tools , Infernal and HMMER , and the phylogenetic analysis tool ...