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Jianqiu Zhang
University Of Texas San Antonio
$435,000
Attributed
$435,000
Total exposure
1
Grants
1
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 $112.5K · FY2020–23$200K$150K$100K$50K$0
'20
'21
'22
'23
Funding mix
By agency
NIH$435,000 · 1
By mechanism
SC3$435,000 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Texas San Antonio
Same institution · by research overlap
- Yufei Huang$3,065,967
- John R McCarrey$11,988,877
Others in their field
Other Emerging Leaders on “Untranslated Regions”
- Yin Shen · University Of California, San Francisco$9,733,134
- Pradeep Natarajan · Massachusetts General Hospital$4,332,359
- Joseph Mauro Calabrese · Univ Of North Carolina Chapel Hill$4,145,329
- Paul Stefan De Vries · University Of Texas Hlth Sci Ctr Houston$3,893,580
- Ayellet Vered Segre · Massachusetts Eye And Ear Infirmary$3,794,243
- Chongyuan Luo · University Of California Los Angeles$3,713,845
Research focus
Untranslated Regions3&AposDetection5&AposAffectBayesian MethodBindingBiological ProcessCell TransformationAreaBaseConvolutional Neural NetworkDeep LearningDeep Learning AlgorithmAlgorithmsDisease PhenotypeEffective TherapyEpitranscriptomeFutureGene ExpressionGene Expression RegulationCodeGenesHigh-Throughput Nucleotide Sequencing
Grant awards (4)
Uncovering the epitranscriptome regulatory codes using machine learning$112,500
SC3 · FY2023 · GM · contact PI
Uncovering the epitranscriptome regulatory codes using machine learning$112,500
SC3 · FY2022 · GM · contact PI
Uncovering the epitranscriptome regulatory codes using machine learning$112,500
SC3 · FY2021 · GM · contact PI
Uncovering the epitranscriptome regulatory codes using machine learning$97,500
SC3 · FY2020 · GM · contact PI