期刊
BIOINFORMATICS
卷 37, 期 18, 页码 3056-3057出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btab170
关键词
-
类别
资金
- Deutsche Forschungsgemeinschaft [FOR 2830, ER 927/1-1]
The study introduces a comprehensive approach called iTiSS for accurately identifying TSS in any eukaryotic TSS profiling experiment, reducing false positives by jointly analyzing multiple complementary datasets.
A Summary: Many experimental approaches have been developed to identify transcription start sites (TSS) from genomic scale data. However, experiment specific biases lead to large numbers of false-positive calls. Here, we present our integrative approach iTiSS, which is an accurate and generic TSS caller for any TSS profiling experiment in eukaryotes, and substantially reduces the number of false positives by a joint analysis of several complementary datasets.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据