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Improving RNA-Seq expression estimates by correcting for fragment bias

Adam Roberts1, Cole Trapnell23, Julie Donaghey2, John L Rinn23 and Lior Pachter14*

Author Affiliations

1 Department of Computer Science, 387 Soda Hall, UC Berkeley, Berkeley, CA 94720, USA

2 Broad Institute, 7 Cambridge Center, Cambridge, MA 02142, USA

3 Department of Stem Cell and Regenerative Biology, 7 Divinity Avenue, Harvard University, Cambridge, MA 02138, USA

4 Departments of Mathematics and Molecular & Cell Biology, 970 Evans Hall, UC Berkeley, Berkeley, CA 94720, USA

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Genome Biology 2011, 12:R22 doi:10.1186/gb-2011-12-3-r22

Published: 16 March 2011

Additional files

Additional file 1:

Supplementary figures. Additional figures referred to in the text.

Format: PDF Size: 1.7MB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Raw expression data. Raw expression estimates used in comparisons, including the NanoString expression measurements.

Format: TGZ Size: 678KB Download file

Open Data

Additional file 3:

Supplementary methods. More detail on the likelihood model.

Format: PDF Size: 134KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 4:

Script for mseq format conversion. Python script that converts standard SAM and FASTA input into the mseq input format.

Format: PY Size: 3KB Download file

Open Data