Melissa Mercier
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Melissa Mercier has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Bethany D. Jenkins
Department of Cell and Molecular Biology, University of Rhode Island Kingston, RI, USA
1 shared publication - LeAnn P Whitney
Department of Cell and Molecular Biology The University of Rhode Island, 120 Flagg Road, Kingston, RI 02881, USA
1 shared publication - Mak A. Saito
Woods Hole Oceanographic Institution
1 shared publication - Sonya T. Dyhrman
Biology Department, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, United States of America
1 shared publication - Tatiana A. Rynearson
Graduate School of Oceanography, South Ferry Road, University of Rhode Island, Narragansett, RI 02882, USA
1 shared publication - Zhijin Wu
Department of Biostatistics, Brown University, Providence, USA
1 shared publication
Latest Publications
- Open Access
- 16 November 2010
- Published by Springer Nature in BMC Bioinformatics
- Vol. 11 (1) , 564
Empirical bayes analysis of sequencing-based transcriptional profiling without replicates
Recent technological advancements have made high throughput sequencing an increasingly popular approach for transcriptome analysis. Advantages of sequencing-based transcriptional profiling over microarrays have been reported, including lower technical variability. However, advances in technology do not remove biological variation between replicates and this variation is often neglected in many analyses.
- 16 November 2010
- Published by Springer Nature in BMC Bioinformatics
- Vol. 11 (1) , 564
Open AccessEmpirical bayes analysis of sequencing-based transcriptional profiling without replicates
Recent technological advancements have made high throughput sequencing an increasingly popular approach for transcriptome analysis. Advantages of sequencing-based transcriptional profiling over microarrays have been reported, including lower technical variability. However, advances in technology do not remove biological variation between replicates and this variation is often neglected in many analyses.