TopHat
TopHat is a bioinformatics software application used for identifying splice junctions in RNA-Seq data. It was developed by the Center for Computational Biology at Johns Hopkins University. TopHat uses the ultra-high-throughput short read aligner Bowtie to align reads to a genome, and then analyzes the mapping results to identify splice junctions between exons.
Overview[edit | edit source]
TopHat is a program that aligns RNA-Seq reads to mammalian-sized genomes using the ultra high-throughput short read aligner Bowtie, and then analyzes the mapping results to identify splice junctions between exons. TopHat is a collaborative effort between the Center for Computational Biology at Johns Hopkins University and the Bioinformatics team at the University of Maryland.
Methodology[edit | edit source]
TopHat first aligns RNA-Seq reads to the genome using Bowtie, and then identifies the exons and splice junctions. The software uses a novel method to align reads that span two or more exons of a gene. The method involves splitting the read into segments and aligning them independently to the genome in order to identify potential splice sites.
Applications[edit | edit source]
TopHat is widely used in the field of bioinformatics for the analysis of RNA-Seq data. It is particularly useful for the study of alternative splicing events, which are believed to play a key role in the complexity of the human transcriptome.
See also[edit | edit source]
References[edit | edit source]
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