The Integrative Genomics and Bioinformatics Core (IGC) specializes in the analysis of next-generation sequencing and other high-throughput genomics data. The IGC was established to assist the Salk community with the integration of genomics data into their research. The primary focus of the core is to provide analysis support for next-generation sequencing applications. The IGC offers a variety of services to suit the needs of different research groups, but is also committed to providing customized assistance to maintain the highest levels of scientific achievement for Salk researchers. All CCSG supported core are organized into one group: Basic Research. This shared resource is catagorized as category (7.02) Bioinformatics in summary 1D

Public Health Relevance

Data about cell function, particularly genomics data, is expanding dramatically. This resource will provide Cancer Center investigators with access to state-of-the-art bioinformatics and genomics analysis.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA014195-41
Application #
8934272
Study Section
Subcommittee G - Education (NCI)
Program Officer
Ciolino, Henry P
Project Start
2013-12-01
Project End
2018-11-30
Budget Start
2013-12-01
Budget End
2014-11-30
Support Year
41
Fiscal Year
2014
Total Cost
$354,155
Indirect Cost
$172,845
Name
Salk Institute for Biological Studies
Department
Type
DUNS #
078731668
City
La Jolla
State
CA
Country
United States
Zip Code
92037
Herzig, S├ębastien; Shaw, Reuben J (2018) AMPK: guardian of metabolism and mitochondrial homeostasis. Nat Rev Mol Cell Biol 19:121-135
Sweeney, Lora B; Bikoff, Jay B; Gabitto, Mariano I et al. (2018) Origin and Segmental Diversity of Spinal Inhibitory Interneurons. Neuron 97:341-355.e3
Hartmann, Phillipp; Hochrath, Katrin; Horvath, Angela et al. (2018) Modulation of the intestinal bile acid/farnesoid X receptor/fibroblast growth factor 15 axis improves alcoholic liver disease in mice. Hepatology 67:2150-2166
Glustrom, Leslie W; Lyon, Kenneth R; Paschini, Margherita et al. (2018) Single-stranded telomere-binding protein employs a dual rheostat for binding affinity and specificity that drives function. Proc Natl Acad Sci U S A 115:10315-10320
Giraddi, Rajshekhar R; Chung, Chi-Yeh; Heinz, Richard E et al. (2018) Single-Cell Transcriptomes Distinguish Stem Cell State Changes and Lineage Specification Programs in Early Mammary Gland Development. Cell Rep 24:1653-1666.e7
Ma, Jiao; Saghatelian, Alan; Shokhirev, Maxim Nikolaievich (2018) The influence of transcript assembly on the proteogenomics discovery of microproteins. PLoS One 13:e0194518
Patriarchi, Tommaso; Cho, Jounhong Ryan; Merten, Katharina et al. (2018) Ultrafast neuronal imaging of dopamine dynamics with designed genetically encoded sensors. Science 360:
Kolar, Matthew J; Nelson, Andrew T; Chang, Tina et al. (2018) Faster Protocol for Endogenous Fatty Acid Esters of Hydroxy Fatty Acid (FAHFA) Measurements. Anal Chem 90:5358-5365
Ogawa, Junko; Pao, Gerald M; Shokhirev, Maxim N et al. (2018) Glioblastoma Model Using Human Cerebral Organoids. Cell Rep 23:1220-1229
Ahmadian, Maryam; Liu, Sihao; Reilly, Shannon M et al. (2018) ERR? Preserves Brown Fat Innate Thermogenic Activity. Cell Rep 22:2849-2859

Showing the most recent 10 out of 457 publications