Back to search

Article

On statistical modeling of sequencing noise in high depth data to assess tumor evolution

2017-04-19

Abstract excerpt

One cause of cancer mortality is tumor evolution to therapy-resistant disease. First line therapy often targets the dominant clone, and drug resistance can emerges from preexisting clones that gain fitness through therapy-induced natural selection. Such mutations may be identified using targeted sequencing assays by analysis of noise in high-depth data. Here, we develop a comprehensive, unbiased model for sequenci...

Topics

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

Identifiers and source

Literature Corpus work
a1b72df6-9205-5967-832d-13acee98e8a5
DOI
10.1101/128587
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.
On statistical modeling of sequencing noise in high depth data to assess tumor evolutionDOI 10.1101/128587
Select a neighboring publication to make it the new centre.