Startseite
English
Erweiterte Suche
Durchblättern nach ...
Publikationen im Überblick
Ansprechpartner
Hilfe
Verlagsversion
DOI
PMC
 |
Open Access Gold |
|
möglich sobald bei der ZB eingereicht worden ist.
MPRAnalyze: Statistical framework for massively parallel reporter assays.
Genome Biol. 20:183 (2019)
Massively parallel reporter assays (MPRAs) can measure the regulatory function of thousands of DNA sequences in a single experiment. Despite growing popularity, MPRA studies are limited by a lack of a unified framework for analyzing the resulting data. Here we present MPRAnalyze: a statistical framework for analyzing MPRA count data. Our model leverages the unique structure of MPRA data to quantify the function of regulatory sequences, compare sequences' activity across different conditions, and provide necessary flexibility in an evolving field. We demonstrate the accuracy and applicability of MPRAnalyze on simulated and published data and compare it with existing methods.
Altmetric
Weitere Metriken?
Zusatzinfos bearbeiten
[➜Einloggen]
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Regulatory Elements; Dynamics
ISSN (print) / ISBN
1474-760X
e-ISSN
1465-6906
Zeitschrift
Genome Biology
Quellenangaben
Band: 20,
Heft: 1,
Artikelnummer: 183
Verlag
BioMed Central
Verlagsort
Campus, 4 Crinan St, London N1 9xw, England
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Computational Biology (ICB)