| dc.contributor.author | Hashimoto, Tatsunori Benjamin | |
| dc.contributor.author | Edwards, Matthew Douglas | |
| dc.contributor.author | Gifford, David K. | |
| dc.date.accessioned | 2014-05-02T14:50:09Z | |
| dc.date.available | 2014-05-02T14:50:09Z | |
| dc.date.issued | 2014-03 | |
| dc.identifier.issn | 1553-7358 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/86363 | |
| dc.description.abstract | We show that existing RNA-seq, DNase-seq, and ChIP-seq data exhibit overdispersed per-base read count distributions that are not matched to existing computational method assumptions. To compensate for this overdispersion we introduce a nonparametric and universal method for processing per-base sequencing read count data called Fixseq. We demonstrate that Fixseq substantially improves the performance of existing RNA-seq, DNase-seq, and ChIP-seq analysis tools when compared with existing alternatives. | en_US |
| dc.description.sponsorship | National Institutes of Health (U.S.) (NIH grant no. 5-U01-HG007037) | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (NSF grant no. 0645960) | en_US |
| dc.description.sponsorship | Qatar Computing Research Institute | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Public Library of Science | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1371/journal.pcbi.1003494 | en_US |
| dc.rights | Creative Commons Attribution | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | PLoS | en_US |
| dc.title | Universal Count Correction for High-Throughput Sequencing | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Hashimoto, Tatsunori B., Matthew D. Edwards, and David K. Gifford. “Universal Count Correction for High-Throughput Sequencing.” Edited by Alice Carolyn McHardy. PLoS Comput Biol 10, no. 3 (March 6, 2014): e1003494. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
| dc.contributor.mitauthor | Hashimoto, Tatsunori Benjamin | en_US |
| dc.contributor.mitauthor | Edwards, Matthew Douglas | en_US |
| dc.contributor.mitauthor | Gifford, David K. | en_US |
| dc.relation.journal | PLoS Computational Biology | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Hashimoto, Tatsunori B.; Edwards, Matthew D.; Gifford, David K. | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0003-0521-5855 | |
| dc.identifier.orcid | https://orcid.org/0000-0002-5845-748X | |
| dc.identifier.orcid | https://orcid.org/0000-0003-1709-4034 | |
| mit.license | PUBLISHER_CC | en_US |
| mit.metadata.status | Complete | |
