Through collaboration, training and technical assistance, the Kl Bioinformafics &Computing Core (BCC) Facility ensures that Kl researchers and other Kl Core Facilities are positioned to fully utilize the power of bioinformafics and statistics in their research. In the previous period, the BCC has both evolved and expanded its services to respond to the rapid advances and growing demand for computation capabilifies. The BCC provides Kl researchers with bioinformatics expertise in protein and genome sequence analysis and annotation, analysis of a variety of different microarray applicafions and interpretation of data from next generafion sequencing. In addifion, the Core provides the desktop and server-based IT services required to support the data-intensive technologies and applications essential for modern cancer research. In these capacities, the BCC has contributed to the projects of more than 85 researchers in the current funding period. The BCC is staffed by outstanding scientists who are expert in a wide array of computational methodologies and have an established track record for acquiring or developing new approaches. They also offer expert training to help Kl investigators develop their own bioinformafics skills. In the upcoming period, the BCC will confinue its support of a wide range of bioinformafics methods while expanding both scientific and IT capabilities in response to the rapid development of new technologies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA014051-43
Application #
8680156
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
43
Fiscal Year
2014
Total Cost
$212,179
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
McConnell, Russell E; Edward van Veen, J; Vidaki, Marina et al. (2016) A requirement for filopodia extension toward Slit during Robo-mediated axon repulsion. J Cell Biol 213:261-74
Puram, Rishi V; Kowalczyk, Monika S; de Boer, Carl G et al. (2016) Core Circadian Clock Genes Regulate Leukemia Stem Cells in AML. Cell 165:303-16
Yin, Hao; Bogorad, Roman L; Barnes, Carmen et al. (2016) RNAi-nanoparticulate manipulation of gene expression as a new functional genomics tool in the liver. J Hepatol 64:899-907
Hosios, Aaron M; Hecht, Vivian C; Danai, Laura V et al. (2016) Amino Acids Rather than Glucose Account for the Majority of Cell Mass in Proliferating Mammalian Cells. Dev Cell 36:540-9
Jhunjhunwala, Siddharth; Alvarez, David; Aresta-DaSilva, Stephanie et al. (2016) Frontline Science: Splenic progenitors aid in maintaining high neutrophil numbers at sites of sterile chronic inflammation. J Leukoc Biol 100:253-60
Tirosh, Itay; Izar, Benjamin; Prakadan, Sanjay M et al. (2016) Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science 352:189-96
Stevens, Mark M; Maire, Cecile L; Chou, Nigel et al. (2016) Drug sensitivity of single cancer cells is predicted by changes in mass accumulation rate. Nat Biotechnol 34:1161-1167
Sun, Daphne; Dalin, Simona; Hemann, Michael T et al. (2016) Differential selective pressure alters rate of drug resistance acquisition in heterogeneous tumor populations. Sci Rep 6:36198
Kimmerling, Robert J; Lee Szeto, Gregory; Li, Jennifer W et al. (2016) A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages. Nat Commun 7:10220
Lowther, Daniel E; Goods, Brittany A; Lucca, Liliana E et al. (2016) PD-1 marks dysfunctional regulatory T cells in malignant gliomas. JCI Insight 1:

Showing the most recent 10 out of 673 publications