NbCNV: a multi-constrained optimization model for discovering copy number variants in single-cell sequencing data.

ABSTRACT:

Background

Variations in DNA copy number have an important contribution to the development of several diseases, including autism, schizophrenia and cancer. Single-cell sequencing technology allows the dissection of genomic heterogeneity at the single-cell level, thereby providing important evolutionary information about cancer cells. In contrast to traditional bulk sequencing, single-cell sequencing requires the amplification of the whole genome of a single cell to accumulate enough samples for sequencing. However, the amplification process inevitably introduces amplification bias, resulting in an over-dispersing portion of the sequencing data. Recent study has manifested that the over-dispersed portion of the single-cell sequencing data could be well modelled by negative binomial

SUBMITTER: Zhang C 

PROVIDER: S-EPMC5027123 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature