Identification and removal of low-complexity sites in allele-specific analysis of ChIP-seq data | Zendy

Sebastian M. Waszak | Zendy; Helena Kilpinen | Zendy; Andreas R. Gschwind | Zendy; Andrea Orioli | Zendy; Sunil K. Raghav | Zendy; Robert M. Witwicki | Zendy; Eugenia Migliavacca | Zendy; Alisa Yurovsky | Zendy; Tuuli Lappalainen | Zendy; Nouria Hernandez | Zendy; Alexandre Reymond | Zendy; Emmanouil T. Dermitzakis | Zendy; Bart Deplancke | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Identification and removal of low-complexity sites in allele-specific analysis of ChIP-seq data

Author(s) -

Sebastian M. Waszak,

Helena Kilpinen,

Andreas R. Gschwind,

Andrea Orioli,

Sunil K. Raghav,

Robert M. Witwicki,

Eugenia Migliavacca,

Alisa Yurovsky,

Tuuli Lappalainen,

Nouria Hernandez,

Alexandre Reymond,

Emmanouil T. Dermitzakis,

Bart Deplancke

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt667

Subject(s) - biology , computational biology , dna sequencing , chromatin immunoprecipitation , genetics , identification (biology) , single cell sequencing , allele , dna , gene , mutation , exome sequencing , gene expression , promoter , botany

High-throughput sequencing technologies enable the genome-wide analysis of the impact of genetic variation on molecular phenotypes at unprecedented resolution. However, although powerful, these technologies can also introduce unexpected artifacts.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research