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ORCIDJohn M. Gaspar
Person information
- affiliation: Merck Research Laboratories, Boston, MA, USA
- affiliation (2017 - 2019): Harvard University, Division of Science, Cambridge, MA, USA
- affiliation (2016 - 2017): Rutgers University, Busch Campus, Piscataway, NJ, USA
- affiliation (2014 - 2016): George Washington University, Washington, DC, USA
- affiliation (PhD 2014): University of New Hampshire, Durham, NH, USA
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2020 – today
- 2020
[j5]Adam H. Freedman, John M. Gaspar, Timothy B. Sackton
:
Short paired-end reads trump long single-end reads for expression analysis. BMC Bioinform. 21(1): 149 (2020)
2010 – 2019
- 2018
- [j4]John M. Gaspar:
NGmerge: merging paired-end reads via novel empirically-derived models of sequencing errors. BMC Bioinform. 19(1): 536:1-536:9 (2018) - 2017
- [j3]John M. Gaspar, Ronald P. Hart:
DMRfinder: efficiently identifying differentially methylated regions from MethylC-seq data. BMC Bioinform. 18(1): 528:1-528:8 (2017) - 2015
- [j2]John M. Gaspar, W. Kelley Thomas:
FlowClus: efficiently filtering and denoising pyrosequenced amplicons. BMC Bioinform. 16: 105:1-105:9 (2015) - 2011
- [j1]Alexander Moiseev, John M. Gaspar, Jennifer A. Schneider, Anthony T. Herdman:
Application of multi-source minimum variance beamformers for reconstruction of correlated neural activity. NeuroImage 58(2): 481-496 (2011)
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