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Umit V. Catalyurek
Ohio State University
$827,701
Attributed
$2,394,973
Total exposure
2
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 $464.6K · FY2009–15$500K$375K$250K$125K$0
'09
'10
'11
'12
'13
'14
'15
Funding mix
By agency
NIH$2,394,973 · 2
By mechanism
R01$2,218,712 · 1
T15$176,261 · 1
Top collaborators
- Kun Huang5 shared
- Jeffrey D Parvin5 shared
- Philip R.O. Payne1 shared
Most similar at Ohio State University
Same institution · by research overlap
- Jeffrey D Parvin$10,706,494
- Daniel A. Janies$1,304,845
- Philip R.o. Payne$8,781,842
- Electra D. Paskett$38,729,537
- Dongjun Chung$3,896,698
Others in their field
Top investigators on “Bioinformatics”
- David Heimbrook · Leidos Biomedical Research, Inc.$233,955,767
- Leonard Freedman · Leidos Biomedical Research, Inc.$190,146,572
- Jay Arnold Tischfield · Rutgers, The State Univ Of N.J.$133,769,519
- Peter B. Gilbert · Fred Hutchinson Cancer Center$94,107,997
- Robert Stanley Sherwin · Yale University$92,581,368
- Peter Gordon Gillespie · Oregon Health And Science University$79,485,491
Research focus
BioinformaticsModalityInformaticsComputerized ToolsBaseAntibodiesCombinatorialCandidate Disease GeneBiomarkerCentrosomeBrca1 GeneBrca2 GeneBrca2 ProteinBreastCancer ControlBreast Cancer DiagnosisBinding (Molecular Function)CarcinogenesisCarcinogenicity TestsCell DivisionCell ExtractsCellsCell TypeAlgorithms
Grant awards (6)
MIDAs: Multi-modeling and Integrative Data Analytics Training Program$176,261
T15 · FY2015 · LM
Informatics methods for identifying breast cancer control genes and proteins$406,149
R01 · FY2013 · CA
Informatics methods for identifying breast cancer control genes and proteins$450,687
R01 · FY2012 · CA
Informatics methods for identifying breast cancer control genes and proteins$440,106
R01 · FY2011 · CA
Informatics methods for identifying breast cancer control genes and proteins$457,200
R01 · FY2010 · CA
Informatics methods for identifying breast cancer control genes and proteins$464,570
R01 · FY2009 · CA