New Results
IVT-seq reveals extreme bias in RNA-sequencing
Nicholas F. Lahens, Ibrahim Halil Kavakli, Ray Zhang, Katharina Hayer, Michael B. Black, Hannah Dueck, Angel Pizarro, Junhyong Kim, Rafael Irizarry, Russell S. Thomas, Gregory R. Grant, John B. Hogenesch
doi: https://doi.org/10.1101/005371
Nicholas F. Lahens
1Department of Pharmacology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
Ibrahim Halil Kavakli
2Departments of Chemical and Biological, Koc University, Istanbul, Turkey
Ray Zhang
1Department of Pharmacology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
Katharina Hayer
3The Institute for Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
Michael B. Black
4The Hamner Institutes for Health Sciences, Research Triangle Park, NC, USA
Hannah Dueck
5Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
Angel Pizarro
6Amazon Web Services, Herndon, VA, USA
Junhyong Kim
5Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
Rafael Irizarry
7Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
Russell S. Thomas
4The Hamner Institutes for Health Sciences, Research Triangle Park, NC, USA
Gregory R. Grant
8Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
John B. Hogenesch
1Department of Pharmacology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
Article usage
Posted May 21, 2014.
IVT-seq reveals extreme bias in RNA-sequencing
Nicholas F. Lahens, Ibrahim Halil Kavakli, Ray Zhang, Katharina Hayer, Michael B. Black, Hannah Dueck, Angel Pizarro, Junhyong Kim, Rafael Irizarry, Russell S. Thomas, Gregory R. Grant, John B. Hogenesch
bioRxiv 005371; doi: https://doi.org/10.1101/005371
IVT-seq reveals extreme bias in RNA-sequencing
Nicholas F. Lahens, Ibrahim Halil Kavakli, Ray Zhang, Katharina Hayer, Michael B. Black, Hannah Dueck, Angel Pizarro, Junhyong Kim, Rafael Irizarry, Russell S. Thomas, Gregory R. Grant, John B. Hogenesch
bioRxiv 005371; doi: https://doi.org/10.1101/005371
Subject Area
Subject Areas
- Biochemistry (11718)
- Bioengineering (8724)
- Bioinformatics (29132)
- Biophysics (14937)
- Cancer Biology (12052)
- Cell Biology (17362)
- Clinical Trials (138)
- Developmental Biology (9407)
- Ecology (14146)
- Epidemiology (2067)
- Evolutionary Biology (18270)
- Genetics (12223)
- Genomics (16768)
- Immunology (11844)
- Microbiology (28016)
- Molecular Biology (11560)
- Neuroscience (60841)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3231)
- Physiology (4940)
- Plant Biology (10405)
- Synthetic Biology (2878)
- Systems Biology (7333)
- Zoology (1642)