MISO: Mixture of Isoforms probablistic model for RNA-Seq

Burge lab
Airoldi lab

Analysis and design of RNA sequencing experiments for identifying isoform regulation

Yarden Katz, Eric T. Wang, Edoardo M. Airoldi^, Christopher B. Burge^. Nature Methods 2010 (7, 1009-1015) (link to paper)

Supplementary Data

RNA-Seq and CLIP-Seq datasets

All datasets used in this paper are available via SRA, accession code GSE23694. Additional raw sequence files from hnRNP H CLIP are available.

Equation (2) giving the density of the Logistic-Normal distribution from Aitchison et. al. is missing a -μ (minus mu) from the second term. See Aitchison and Shen for the correct pdf. Thanks to Edward Kao for noting this.

Depts. of Biology and Biological Engineering
Dept. of Brain and Cognitive Sciences

Dept. of Statistics
FAS Center for Systems Biology

Contact

Department of Biology MIT
31 Ames Street, 68-271A
Cambridge, MA 02139-4307

MISO / Probabilistic analysis and design of RNA-Seq experiments for identifying isoform regulation

Analysis and design of RNA sequencing experiments for identifying isoform regulation

Yarden Katz, Eric T. Wang, Edoardo M. Airoldi^, Christopher B. Burge^. Nature Methods 2010 (7, 1009-1015) (link to paper)

Supplementary Data

RNA-Seq and CLIP-Seq datasets

Notes

MISO / Probabilistic analysis and design of RNA-Seq experiments for identifying isoform regulation

Analysis and design of RNA sequencing experiments for identifying isoform regulation

Yarden Katz, Eric T. Wang, Edoardo M. Airoldi*, Christopher B. Burge*. Nature Methods 2010 (7, 1009-1015) (link to paper)

Supplementary Data

RNA-Seq and CLIP-Seq datasets

Notes

Yarden Katz, Eric T. Wang, Edoardo M. Airoldi^, Christopher B. Burge^. Nature Methods 2010 (7, 1009-1015) (link to paper)