Universal Count Correction for High-Throughput Sequencing
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 seque...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Public Library of Science
2014
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| Online Access: | http://hdl.handle.net/1721.1/86363 https://orcid.org/0000-0003-0521-5855 https://orcid.org/0000-0002-5845-748X https://orcid.org/0000-0003-1709-4034 |