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Shayan Mukherjee
Duke University
$543,610
Attributed
$1,813,283
Total exposure
1
Grants
0
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.
Funding over time
peak $729.8K · FY2021–23$1M$750K$500K$250K$0
'21
'22
'23
Funding mix
By agency
NIH$1,813,283 · 1
By mechanism
U01$1,813,283 · 1
Top collaborators
- Andrew S Allen3 shared
- C. David Page3 shared
- William Majoros1 shared
Most similar at Duke University
Same institution · by research overlap
- Jenny Tung$7,259,897
- Matthew E. Dupre$4,520,164
- Ehsan Samei$11,883,058
- Alessandro Bartolomucci$5,344,628
- Cynthia Rudin$4,182,146
Others in their field
Other Emerging Leaders on “Genetic Code”
- Tomasz Nowakowski · University Of California, San Francisco$11,910,580
- Yin Shen · University Of California, San Francisco$8,893,640
- Jason Daniel Buenrostro · Broad Institute, Inc.$8,238,018
- Chongyuan Luo · University Of California Los Angeles$7,495,291
- Feng Yue · Pennsylvania State Univ Hershey Med Ctr$7,366,057
- David Arthur Knowles · Icahn School Of Medicine At Mount Sinai$6,611,953
Research focus
Genetic CodeCell TypeCatalogsCodeCombinatorialComputational BiologyClustered Regularly Interspaced Short Palindromic RepeatsCouplingDeep Neural NetworkDesignDiagnosticEnd Point AssayEpigenetic ProcessEvolutionCoupledExperimental DesignsExperimental StudyExplosionFlexibilityGene DiscoveryGene ExpressionGene Expression RegulationGeneticGenetic Determinism
Grant awards (3)
Design, prediction, and prioritization of systematic perturbations of the human genome$729,808
U01 · FY2023 · HG
Design, prediction, and prioritization of systematic perturbations of the human genome$729,808
U01 · FY2022 · HG
Design, prediction, and prioritization of systematic perturbations of the human genome$353,667
U01 · FY2021 · HG