![]() |
|
![]() |
||||
Thread | Thread Starter | Forum | Replies | Last Post |
ChIP-Seq: ChIP-Seq Data Analysis: Identification of Protein-DNA Binding Sites with SI | Newsbot! | Literature Watch | 0 | 12-02-2011 04:51 AM |
ChIP-Seq: Using MACS to Identify Peaks from ChIP-Seq Data. | Newsbot! | Literature Watch | 0 | 06-03-2011 02:00 AM |
ChIP-Seq: ChIP-chip versus ChIP-seq: Lessons for experimental design and data analysi | Newsbot! | Literature Watch | 0 | 03-02-2011 02:50 AM |
ChIP-Seq: Using ChIP-seq Technology to Identify Targets of Zinc Finger Transcription | Newsbot! | Literature Watch | 0 | 08-04-2010 02:00 AM |
ChIP-Seq: Genome-wide Analysis using ChIP to Identify Isoform-specific Gene Targets. | Newsbot! | Literature Watch | 0 | 07-21-2010 02:00 AM |
![]() |
|
Thread Tools |
![]() |
#1 |
RSS Posting Maniac
Join Date: Feb 2008
Posts: 1,443
|
![]()
Syndicated from PubMed RSS Feeds
ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions. Genome Biol. 2011 Jul 25;12(7):R67 Authors: Rashid N, Giresi PG, Ibrahim JG, Sun W, Lieb JD ABSTRACT: ZINBA (Zero-Inflated Negative Binomial Algorithm) identifies genomic regions enriched in a variety of ChIP-seq and related next-generation sequencing experiments (DNA-seq), calling both broad and narrow modes of enrichment across a range of signal-to-noise ratios. ZINBA models and accounts for factors that co-vary with background or experimental signal, such as G/C-content, and identifies enrichment in genomes with complex local copy number variations. ZINBA provides a single unified framework for analyzing DNA-seq experiments in challenging genomic contexts. PMID: 21787385 [PubMed - as supplied by publisher] More... |
![]() |
![]() |
![]() |
Thread Tools | |
|
|