Open Access Highly Accessed Methodology article

Rnnotator: an automated de novo transcriptome assembly pipeline from stranded RNA-Seq reads

Jeffrey Martin12, Vincent M Bruno3, Zhide Fang4, Xiandong Meng12, Matthew Blow12, Tao Zhang12, Gavin Sherlock5, Michael Snyder5 and Zhong Wang12*

Author Affiliations

1 Genomics Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA

2 Department of Energy, Joint Genome Institute, Walnut Creek, California, USA

3 Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520, USA

4 School of Public Health, LSU-Health Sciences Center, New Orleans, LA 70112,USA

5 Department of Genetics, Stanford University Medical School, Stanford, CA 94305-5120, USA

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BMC Genomics 2010, 11:663  doi:10.1186/1471-2164-11-663

Published: 24 November 2010

Additional files

Additional file 1:

Supplementary Table S1. Effect of k-mer filtering on assembly quality. Comparisons were performed using the SC5314 dataset.

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