Greenscreen: A simple method to remove artifactual signals and enrich for true peaks in genomic datasets including ChIP-seq data

生物 染色质免疫沉淀 基因组 计算生物学 编码 基因组学 染色质 基因组DNA 计算机科学 遗传学 DNA 基因 基因表达 发起人
作者
Samantha Klasfeld,Thomas Roulé,Doris Wagner
出处
期刊:The Plant Cell [Oxford University Press]
卷期号:34 (12): 4795-4815 被引量:3
标识
DOI:10.1093/plcell/koac282
摘要

Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is widely used to identify factor binding to genomic DNA and chromatin modifications. ChIP-seq data analysis is affected by genomic regions that generate ultra-high artifactual signals. To remove these signals from ChIP-seq data, the Encyclopedia of DNA Elements (ENCODE) project developed comprehensive sets of regions defined by low mappability and ultra-high signals called blacklists for human, mouse (Mus musculus), nematode (Caenorhabditis elegans), and fruit fly (Drosophila melanogaster). However, blacklists are not currently available for many model and nonmodel species. Here, we describe an alternative approach for removing false-positive peaks called greenscreen. Greenscreen is easy to implement, requires few input samples, and uses analysis tools frequently employed for ChIP-seq. Greenscreen removes artifactual signals as effectively as blacklists in Arabidopsis thaliana and human ChIP-seq dataset while covering less of the genome and dramatically improves ChIP-seq peak calling and downstream analyses. Greenscreen filtering reveals true factor binding overlap and occupancy changes in different genetic backgrounds or tissues. Because it is effective with as few as two inputs, greenscreen is readily adaptable for use in any species or genome build. Although developed for ChIP-seq, greenscreen also identifies artifactual signals from other genomic datasets including Cleavage Under Targets and Release Using Nuclease. We present an improved ChIP-seq pipeline incorporating greenscreen that detects more true peaks than other methods.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
流星完成签到,获得积分10
1秒前
努力向上的小刘完成签到,获得积分10
3秒前
李健应助小宇OvO采纳,获得10
4秒前
卡卡完成签到 ,获得积分10
4秒前
Lu完成签到,获得积分10
4秒前
白色梨花发布了新的文献求助30
7秒前
渣兔完成签到,获得积分10
7秒前
4652376完成签到 ,获得积分10
12秒前
无情的幻嫣完成签到,获得积分10
12秒前
13秒前
李小小飞完成签到,获得积分10
14秒前
15秒前
hello完成签到,获得积分10
15秒前
我是老大应助无情的幻嫣采纳,获得10
15秒前
Roman完成签到,获得积分10
16秒前
slin_sjtu发布了新的文献求助10
18秒前
周周发布了新的文献求助20
18秒前
小党完成签到,获得积分10
18秒前
19秒前
昏睡的白桃完成签到,获得积分10
19秒前
小宇OvO发布了新的文献求助10
20秒前
jiaolulu发布了新的文献求助10
24秒前
量子星尘发布了新的文献求助10
24秒前
真的不想干活了完成签到,获得积分10
24秒前
美丽的依琴完成签到,获得积分10
25秒前
Xin完成签到,获得积分10
31秒前
Aurora.H完成签到,获得积分10
34秒前
34秒前
FashionBoy应助科研通管家采纳,获得10
35秒前
打打应助科研通管家采纳,获得10
35秒前
Jasper应助科研通管家采纳,获得10
35秒前
Ava应助科研通管家采纳,获得10
35秒前
顾矜应助科研通管家采纳,获得10
35秒前
上官若男应助科研通管家采纳,获得10
35秒前
duckspy发布了新的文献求助10
37秒前
37秒前
37秒前
xiaowan完成签到,获得积分10
38秒前
Terry完成签到,获得积分10
39秒前
张张张哈哈哈完成签到,获得积分10
39秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Handbook of Industrial Diamonds.Vol2 1100
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4038201
求助须知:如何正确求助?哪些是违规求助? 3575940
关于积分的说明 11373987
捐赠科研通 3305747
什么是DOI,文献DOI怎么找? 1819274
邀请新用户注册赠送积分活动 892662
科研通“疑难数据库(出版商)”最低求助积分说明 815022