Correcting signal biases and detecting regulatory elements in STARR-seq data.
Ontology highlight
ABSTRACT:
SUBMITTER: Kim YS
PROVIDER: S-EPMC8092017 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature
Publications
Correcting signal biases and detecting regulatory elements in STARR-seq data.
Kim Young-Sook YS Johnson Graham D GD Seo Jungkyun J Barrera Alejandro A Cowart Thomas N TN Majoros William H WH Ochoa Alejandro A Allen Andrew S AS Reddy Timothy E TE
Genome research 20210315 5
High-throughput reporter assays such as self-transcribing active regulatory region sequencing (STARR-seq) have made it possible to measure regulatory element activity across the entire human genome at once. The resulting data, however, present substantial analytical challenges. Here, we identify technical biases that explain most of the variance in STARR-seq data. We then develop a statistical model to correct those biases and to improve detection of regulatory elements. This approach substantia ...[more]
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