Back to search

Article

A variant by any name: quantifying annotation discordance across tools and clinical databases

2016-05-18

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Clinical genomic testing is dependent on the robust identification and reporting of variant-level information in relation to disease. With the shift to high-throughput sequencing, a major challenge for clinical diagnostics is the cross-identification of variants called on their genomic position to resources that rely on transcript- or protein-based descriptions. <h4>Methods<...

Topics

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

Identifiers and source

Literature Corpus work
143de8ff-c6ce-560b-a808-f95a17b8c890
DOI
10.1101/054023
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.
A variant by any name: quantifying annotation discordance across tools and clinical databasesDOI 10.1101/054023
Select a neighboring publication to make it the new centre.