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: | English |
| Published: |
Public Library of Science,
2014-05-02T14:50:09Z.
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| Subjects: | |
| Online Access: | Get fulltext |