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Mona Singh

Princeton University

$9,132,913
Attributed
$9,132,913
Total exposure
4
Grants
4
Lead (contact PI)

Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).

Funding over time

peak $2.4M · FY200625
$2.5M$1.9M$1.3M$625K$0
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$9,132,913 · 4

By mechanism

R01$6,725,988 · 2
R35$1,968,575 · 1
R21$438,350 · 1

Top collaborators

No co-investigators on record.

Most similar at Princeton University

Same institution · by research overlap

Others in their field

Top investigators on “Proteins

Research focus

ProteinsComputing MethodologiesInternetGenomePathway InteractionsMutationPlayGenome SequencingStructureProtein FunctionOrganismSoftware DevelopmentBaseAffectZinc FingersBioinformaticsAlgorithmsAmino Acid SequenceSpecificityComputer SoftwareBiological ProcessMutateCancer GenomePattern

Grant awards (26)

Computational approaches for elucidating proteomes and interactomes$1,968,575
R35 · FY2025 · GM · contact PI
Computational methods to decipher somatic alterations in cancer genomes$407,565
R01 · FY2025 · CA · contact PI
Computational methods to decipher somatic alterations in cancer genomes$411,114
R01 · FY2024 · CA · contact PI
Predicting and analyzing variation in cellular interactomes$312,660
R01 · FY2022 · GM · contact PI
Predicting and analyzing variation in cellular interactomes$312,660
R01 · FY2021 · GM · contact PI
Interaction-based computational methods for analyzing cancer genomes$361,056
R01 · FY2020 · CA · contact PI
Predicting and analyzing variation in cellular interactomes$312,660
R01 · FY2020 · GM · contact PI
Interaction-based computational methods for analyzing cancer genomes$350,224
R01 · FY2019 · CA · contact PI
Predicting and analyzing variation in cellular interactomes$312,660
R01 · FY2019 · GM · contact PI
Interaction-based computational methods for analyzing cancer genomes$70,042
R01 · FY2019 · CA · contact PI
Interaction-based computational methods for analyzing cancer genomes$361,056
R01 · FY2018 · CA · contact PI
Interaction-based computational methods for analyzing cancer genomes$75,282
R01 · FY2018 · CA · contact PI
Interaction-based computational methods for analyzing cancer genomes$361,056
R01 · FY2017 · CA · contact PI
Interaction-based computational methods for analyzing cancer genomes$361,056
R01 · FY2016 · CA · contact PI
Predicting and analyzing protein interaction networks$308,291
R01 · FY2015 · GM · contact PI
Predicting and analyzing protein interaction networks$307,890
R01 · FY2014 · GM · contact PI
Predicting and analyzing protein interaction networks$296,737
R01 · FY2013 · GM · contact PI
Predicting and analyzing protein interaction networks$307,117
R01 · FY2012 · GM · contact PI
Computational methods for uncovering protein function in Plasmodium falciparum$199,238
R21 · FY2011 · AI · contact PI
Predicting and analyzing protein interaction networks$255,769
R01 · FY2010 · GM · contact PI
Computational methods for uncovering protein function in Plasmodium falciparum$239,112
R21 · FY2010 · AI · contact PI
Predicting and analyzing protein interaction networks$258,353
R01 · FY2009 · GM · contact PI
Predicting and analyzing protein interaction networks$199,965
R01 · FY2009 · GM · contact PI
Predicting and analyzing protein interaction networks$258,353
R01 · FY2008 · GM · contact PI
Predicting and analyzing protein interaction networks$258,353
R01 · FY2007 · GM · contact PI
Predicting and analyzing protein interaction networks$266,069
R01 · FY2006 · GM · contact PI