Graduate Training Program in Bioinformatics
Graduate Training Program in Bioinformatics
批准号:
10612423
负责人:
Vineet Bafna
金额:
$42.44万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-07-01 至 2026-06-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Graduate Training Program in Bioinformatics
Program Abstract
Biology is increasingly becoming an information-driven science. To harness the opportunities of the post-
genomic era in furthering health sciences research and improving health care, there is an enormous demand for
biologists who are trained in mathematics and computer science and can think quantitatively. However, current
disciplinary graduate training programs are not designed to accommodate these rapid changes in the biological
research perspective. This need serves as the motivation for the development of specialized graduate training
programs that will train students at the interface between biology, engineering and computer science. To address
this need, UCSD established an interdisciplinary Graduate Program in Bioinformatics in 2001 under the
directorship of Dr. Shankar Subramaniam. In 2008, it was renamed Graduate Program in Bioinformatics and
Systems Biology and reorganized. The current program directors Drs. Trey Ideker, Euegene Yeo, and Theresa
Gaasterland work closely with the Training Grant co-PIs Dr. Subramaniam, Vineet Bafna, and Theresa
Gaasterland, and with an active steering committee containing representative faculty from all five participating
UCSD schools and academic divisions. The primary objectives of this (renewal) application of the Training Grant
by the three co-PIs are to continue and expand this premier Graduate Program, and support the highest quality
students in their truly interdisciplinary training which blends biomedicine, computer science and engineering. The
Program will continue to evolve the curriculum (including online offerings) and develop and offer electives that
will prepare students for the challenges of big data and computational biomedical research. The program will
continue its mode of training that begins with a set of research rotations in laboratories of faculty members, and
continues through doctoral research work under the supervision of a PhD advisor and co-advisor who provide
complementary interdisciplinary expertise. The Program will also continue a recently established weekly
Colloquium, the student Journal Club, and annual retreat. In the course of their training, program students have
contributed important discoveries and impactful advances in health sciences research. Alumni of the program
are placed in leading positions in Academia and industry. Given the extraordinary number and quality of
applicants, the capacity and eagerness of the Program faculty to train the Program’s students, and the
institutional support for the Program, this application seeks to increase the number of trainee slots to 12.
Following Training Grant support of Graduate students during their course work education and initial research
training, all graduate students will be supported by their thesis advisors for the duration of their PhD studies. The
Proposal outlines our past success in training students and discusses significant novel strategies for enhancing
the training program. The new inception of the UCSD Halicioglu Data Sciences Institute provides great synergy
for our Graduate Program and offers the trainees an opportunity to become leaders in the emerging areas of
biomedicine that are heavily becoming data science disciplines.
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Application of a Machine Learning Algorithm in Prediction of Abusive Head Trauma in Children.
机器学习算法在预测儿童虐待性头部创伤中的应用。
DOI:
10.1016/j.jpedsurg.2023.09.027
发表时间:
2024
期刊:
Journal of pediatric surgery
影响因子:
2.4
作者:
[Jadhav,Priyanka, Sears,Timothy, Floan,Gretchen, Joskowitz,Katie, Nienow,Shalon, Cruz,Sheena, David,Maya, deCos,Víctor, Choi,Pam, Ignacio,RomeoC]
通讯作者:
Ignacio,RomeoC
DOI:
10.1186/s12967-022-03561-x
发表时间:
2022-08-12
期刊:
JOURNAL OF TRANSLATIONAL MEDICINE
影响因子:
7.4
作者:
[Deichaite, Ida, Hopper, Austin, Krockenberger, Lena, Sears, Timothy J., Sutton, Leisa, Ray, Xenia, Sharabi, Andrew, Navon, Ami, Sanghvi, Parag, Carter, Hannah, Moiseenko, Vitali]
通讯作者:
Moiseenko, Vitali
DOI:
10.1186/s13293-023-00558-z
发表时间:
2023-11-01
期刊:
BIOLOGY OF SEX DIFFERENCES
影响因子:
7.9
作者:
[Bruce, Lauryn Keeler, Kasl, Patrick, Soltani, Severine, Viswanath, Varun K., Hartogensis, Wendy, Dilchert, Stephan, Hecht, Frederick M., Chowdhary, Anoushka, Anglo, Claudine, Pandya, Leena, Dasgupta, Subhasis, Altintas, Ilkay, Gupta, Amarnath, Mason, Ashley E., Smarr, Benjamin L.]
通讯作者:
Smarr, Benjamin L.
DOI:
10.1007/s10120-022-01360-3
发表时间:
2023-03
期刊:
GASTRIC CANCER
影响因子:
7.4
作者:
[Vo, Daniella, Ghosh, Pradipta, Sahoo, Debashis]
通讯作者:
Sahoo, Debashis
DOI:
10.1038/s41467-022-34557-2
发表时间:
2022-11-17
期刊:
NATURE COMMUNICATIONS
影响因子:
16.6
作者:
[Minich, Jeremiah J., Harer, Andreas, Vechinski, Joseph, Frable, Benjamin W., Skelton, Zachary R., Kunselman, Emily, Shane, Michael A., Perry, Daniela S., Gonzalez, Antonio, McDonald, Daniel, Knight, Rob, Michael, Todd P., Allen, Eric E.]
通讯作者:
Allen, Eric E.
共 7 条
eDyNAmiC - UCSD
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批准号:10845739
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项目类别:
-
资助金额:$32.94万
-
财政年份:2022
-
负责人:Vineet Bafna
-
依托单位:
eDyNAmiC - UCSD
-
批准号:10622287
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项目类别:
-
资助金额:$26.71万
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财政年份:2022
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负责人:Vineet Bafna
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依托单位:
Software and algorithms for elucidating the structure, function, and evolution of extrachromosomal DNA
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批准号:10704060
-
项目类别:
-
资助金额:$61.12万
-
财政年份:2021
-
负责人:Vineet Bafna
-
依托单位:
Graduate Training Program in Bioinformatics
-
批准号:10089978
-
项目类别:
-
资助金额:$39.01万
-
财政年份:2021
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负责人:Vineet Bafna
-
依托单位:
Graduate Training Program in Bioinformatics
-
批准号:10417008
-
项目类别:
-
资助金额:$41.63万
-
财政年份:2021
-
负责人:Vineet Bafna
-
依托单位:
Software and algorithms for elucidating the structure, function, and evolution of extrachromosomal DNA
-
批准号:10477356
-
项目类别:
-
资助金额:$72.84万
-
财政年份:2021
-
负责人:Vineet Bafna
-
依托单位:
Software and algorithms for elucidating the structure, function, and evolution of extrachromosomal DNA
-
批准号:10305480
-
项目类别:
-
资助金额:$74.91万
-
财政年份:2021
-
负责人:Vineet Bafna
-
依托单位:
Core C- Bioinformatics Core
-
批准号:10533741
-
项目类别:
-
资助金额:$17.62万
-
财政年份:2020
-
负责人:Vineet Bafna
-
依托单位:
Core C- Bioinformatics Core
-
批准号:10154464
-
项目类别:
-
资助金额:$12.24万
-
财政年份:2020
-
负责人:Vineet Bafna
-
依托单位:
Core C- Bioinformatics Core
-
批准号:10300069
-
项目类别:
-
资助金额:$13.23万
-
财政年份:2020
-
负责人:Vineet Bafna
-
依托单位:
Refining Mendelian disease analysis via detection of clinically relevant repeat variants
-
批准号:10205131
-
项目类别:
-
资助金额:$57.0万
-
财政年份:2018
-
负责人:Vineet Bafna
-
依托单位:
Refining Mendelian disease analysis via detection of clinically relevant repeat variants
-
批准号:10586956
-
项目类别:
-
资助金额:$56.98万
-
财政年份:2018
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负责人:Vineet Bafna
-
依托单位:
Computational methods for detecting patterns of complex genomic variation
-
批准号:9198242
-
项目类别:
-
资助金额:$27.24万
-
财政年份:2016
-
负责人:Vineet Bafna
-
依托单位:
Computational methods for detecting patterns of complex genomic variation
-
批准号:9027203
-
项目类别:
-
资助金额:$27.52万
-
财政年份:2016
-
负责人:Vineet Bafna
-
依托单位:
Computational methods for detecting patterns of complex genomic variation
-
批准号:10320932
-
项目类别:
-
资助金额:$30.17万
-
财政年份:2016
-
负责人:Vineet Bafna
-
依托单位:
Computational methods for detecting patterns of complex genomic variation
-
批准号:10543106
-
项目类别:
-
资助金额:$30.1万
-
财政年份:2016
-
负责人:Vineet Bafna
-
依托单位:
Computational methods for detecting patterns of complex genomic variation
-
批准号:10077847
-
项目类别:
-
资助金额:$28.95万
-
财政年份:2016
-
负责人:Vineet Bafna
-
依托单位:
Algorithmic strategies for detecting structural variation in genomes
-
批准号:8035949
-
项目类别:
-
资助金额:$32.17万
-
财政年份:2009
-
负责人:Vineet Bafna
-
依托单位:
Algorithmic strategies for detecting structural variation in genomes
-
批准号:8228154
-
项目类别:
-
资助金额:$32.36万
-
财政年份:2009
-
负责人:Vineet Bafna
-
依托单位:
Algorithmic strategies for detecting structural variation in genomes
-
批准号:7795846
-
项目类别:
-
资助金额:$32.62万
-
财政年份:2009
-
负责人:Vineet Bafna
-
依托单位:
海外基金