Back to search

Article

Validation of predicted mRNA splicing mutations using high-throughput transcriptome data

2014-04-07

Abstract excerpt

Interpretation of variants present in complete genomes or exomes reveals numerous sequence changes, only a fraction of which are likely to be pathogenic. Mutations have been traditionally inferred from allele frequencies and inheritance patterns in such data. Variants predicted to alter mRNA splicing can be validated by manual inspection of transcriptome sequencing data, however this approach is intractable for la...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2385ea0d-1444-51aa-8c55-447761517ace
DOI
10.12688/f1000research.3-8.v2
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Validation of predicted mRNA splicing mutations using high-throughput transcriptome dataDOI 10.12688/f1000research.3-8.v2
Select a neighboring publication to make it the new centre.