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 #
5P30CA014051-41
Application #
8377100
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2012-05-01
Budget End
2013-04-30
Support Year
41
Fiscal Year
2012
Total Cost
$218,943
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Type
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Roper, Jatin; Tammela, Tuomas; Cetinbas, Naniye Malli et al. (2017) In vivo genome editing and organoid transplantation models of colorectal cancer and metastasis. Nat Biotechnol 35:569-576
Gocheva, Vasilena; Naba, Alexandra; Bhutkar, Arjun et al. (2017) Quantitative proteomics identify Tenascin-C as a promoter of lung cancer progression and contributor to a signature prognostic of patient survival. Proc Natl Acad Sci U S A 114:E5625-E5634
Fenouille, Nina; Bassil, Christopher F; Ben-Sahra, Issam et al. (2017) The creatine kinase pathway is a metabolic vulnerability in EVI1-positive acute myeloid leukemia. Nat Med 23:301-313
Castleberry, Steven A; Quadir, Mohiuddin A; Sharkh, Malak Abu et al. (2017) Polymer conjugated retinoids for controlled transdermal delivery. J Control Release 262:1-9
Lippok, Norman; Villiger, Martin; Albanese, Alexandre et al. (2017) Depolarization signatures map gold nanorods within biological tissue. Nat Photonics 11:583-588
Chen, Tiffany F; Sazinsky, Stephen L; Houde, Damian et al. (2017) Engineering Aglycosylated IgG Variants with Wild-Type or Improved Binding Affinity to Human Fc Gamma RIIA and Fc Gamma RIIIAs. J Mol Biol 429:2528-2541
Doloff, Joshua C; Veiseh, Omid; Vegas, Arturo J et al. (2017) Colony stimulating factor-1 receptor is a central component of the foreign body response to biomaterial implants in rodents and non-human primates. Nat Mater 16:671-680
Suzuki, Hiroshi I; Young, Richard A; Sharp, Phillip A (2017) Super-Enhancer-Mediated RNA Processing Revealed by Integrative MicroRNA Network Analysis. Cell 168:1000-1014.e15
Gu, Li; Deng, Zhou J; Roy, Sweta et al. (2017) A Combination RNAi-Chemotherapy Layer-by-Layer Nanoparticle for Systemic Targeting of KRAS/P53 with Cisplatin to Treat Non-Small Cell Lung Cancer. Clin Cancer Res 23:7312-7323
Venteicher, Andrew S; Tirosh, Itay; Hebert, Christine et al. (2017) Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq. Science 355:

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