Modeling genome coverage in single-cell sequencing.

ABSTRACT:

Motivation

Single-cell DNA sequencing is necessary for examining genetic variation at the cellular level, which remains hidden in bulk sequencing experiments. But because they begin with such small amounts of starting material, the amount of information that is obtained from single-cell sequencing experiment is highly sensitive to the choice of protocol employed and variability in library preparation. In particular, the fraction of the genome represented in single-cell sequencing libraries exhibits extreme variability due to quantitative biases in amplification and loss of genetic material.

Results

We propose a method to predict the genome coverage of a deep sequencing experiment using information from an initial shallow sequencing experiment mapped to a reference genome. Th

SUBMITTER: Daley T 

PROVIDER: S-EPMC4221128 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature