FusionSeq: a Modular Framework for Finding Gene Fusions by Analyzing Paired-End RNA Sequencing Data
Source: NCBI BioProject (ID PRJNA74883)

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Project name: Homo sapiens
Description: We have developed FusionSeq to identify fusion transcripts from paired-end RNA-sequencing. FusionSeq includes filters to remove spurious candidate fusions with artifacts such as misalignments or random pairing of transcript fragments and it ranks candidates according to several statistics. It also has a module to identify exact sequences at breakpoint junctions. FusionSeq detected known and novel fusions in a specially sequenced calibration data set, including 8 cancers with and without known rearrangements.
Data type: Phenotype or Genotype
Sample scope: Multiisolate
Organization: WEILL MEDICAL COLL OF CORNELL UNIV
Literatures
  1. PMID: 20964841
Release date: 2010-12-10
Statistics: 8 samples; 8 experiments; 8 runs