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John M. Gaspar

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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

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2020
[j5]
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  - journals/bmcbi/FreedmanGS20
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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

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2018
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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
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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
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John M. Gaspar, W. Kelley Thomas:
FlowClus: efficiently filtering and denoising pyrosequenced amplicons. BMC Bioinform. 16: 105:1-105:9 (2015)
2011
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  - journals/neuroimage/MoiseevGSH11
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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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