May 21, 2016

MPAthic: quantitative modeling of sequence-function relationships for massively parallel assays

BioRxiv : the Preprint Server for Biology
William T Ireland, Justin B Kinney


Massively parallel assays (MPAs) are being rapidly adopted for studying a wide range of DNA, RNA, and protein sequence-function relationships. However, the software available for quantitatively modeling these relationships is severely limited. Here we describe MPAthic, a software package that enables the rapid inference of such models from a variety of MPA datasets. Using both simulated and previously published data, we show that the modeling capabilities of MPAthic greatly improve on those of existing software. In particular, only MPAthic can accurately quantify the strength of epistatic interactions. These capabilities address a major need in the analysis of MPA data.

  • References
  • Citations


  • We're still populating references for this paper, please check back later.
  • References
  • Citations


  • This paper may not have been cited yet.

Mentioned in this Paper

Computer Software
Protein Function
Pulmonary artery.main
PS1 protein, Arabidopsis
Medroxyprogesterone acetate

About this Paper

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.

Related Papers

Clinical Chemistry
Bonnie E Gould Rothberg, Jonathan M Rothberg
Proceedings of the National Academy of Sciences of the United States of America
Nathan M BelliveauRob Phillips
© 2020 Meta ULC. All rights reserved