MPAthic: quantitative modeling of sequence-function relationships for massively parallel assays
- Creators
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Ireland, William T.
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Kinney, Justin B.
Abstract
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.
Additional Information
The copyright holder for this preprint is the author/funder. It is made available under a CC-BY 4.0 International license. bioRxiv preprint first posted online May. 21, 2016. The authors declare that they have no competing interests. Author's contributions: WTI and JBK participated in all aspects of this research. We thank Douglas Fowler for providing preprocessed DMS data from [9]. We also thank Tarjei Mikkelsen for posting the preprocessed MPRA data from [8] on NCBI GEO. WTI was supported by NIH grants DP1 OD000217 and R01 GM085286. The work of JBK was supported by the Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory.Attached Files
Submitted - 054676.full.pdf
Supplemental Material - 054676-1.pdf
Supplemental Material - 054676-1_1.pdf
Files
Additional details
- Eprint ID
- 72937
- Resolver ID
- CaltechAUTHORS:20161219-103729326
- DP1 OD000217
- NIH
- R01 GM085286
- NIH
- Cold Spring Harbor Laboratory
- Created
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2016-12-19Created from EPrint's datestamp field
- Updated
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2021-11-11Created from EPrint's last_modified field