With the tremendous increase in DNA and protein sequence information, there is a need to analyze and manipulate sequence data in efficient and productive ways. This includes searching databases for similar sequences, identifying coding regions, binding sites, recognition sequences, motifs, and control regions for DNA and RNA, and prediction of possible structures for proteins and RNAs. Effective use of computers to examine ihformational macromolecules requires a knowledge of the algorithms used for sequence analysis or structure prediction, in addition to sophisticated computer hardware on which to conduct the analyses and manipulations. An in-depth understanding of the algorithms and access to the advanced hardware and software are not readily available in most individual laboratories. Indeed, it would not be cost effective to duplicate such resources in multiple labs. The Center for Biological and Biomedical Computing (CBBC) meets these needs for NCCC investigators. The CBBC also provides resources to manipulate graphic images, such as scans of micrographs, confocal images, autoradiographs, and other images of research interest. The computer software available in the CBBC can effectively enhance images and bring to light information in the images not apparent through other means (through techniques such as combining and contrasting images-and altering color tables). These capabilities are best facilitated through a shared facility having the equipment and expertise to do this. The CBBC also serves as a central facility that NCCC investigators can turn to for advice on hardware, software, and algorithrns as they relate to advanced scientific analyses, and for analytical expertise. The CBBC provides the software and hardware for generating high-quality illustrations through slide makers and color output devices for use in seminars, teaching, posters, and other presentations. The staff at the CBBC constantly monitors the field of computational biology and makes available to the NCCC community new capabilities as they become available. The staff also evaluates new software packages; those that will augment the research activities of the community are made available, and appropriate user support is provided.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA023108-21
Application #
6231700
Study Section
Subcommittee G - Education (NCI)
Project Start
1978-09-01
Project End
2003-11-30
Budget Start
Budget End
Support Year
21
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Shee, Kevin; Jiang, Amanda; Varn, Frederick S et al. (2018) Cytokine sensitivity screening highlights BMP4 pathway signaling as a therapeutic opportunity in ER+ breast cancer. FASEB J :fj201801241R
Rodriguez-Garcia, Marta; Fortier, Jared M; Barr, Fiona D et al. (2018) Aging impacts CD103+ CD8+ T cell presence and induction by dendritic cells in the genital tract. Aging Cell 17:e12733
Shajani-Yi, Zahra; de Abreu, Francine B; Peterson, Jason D et al. (2018) Frequency of Somatic TP53 Mutations in Combination with Known Pathogenic Mutations in Colon Adenocarcinoma, Non-Small Cell Lung Carcinoma, and Gliomas as Identified by Next-Generation Sequencing. Neoplasia 20:256-262
Szczepiorkowski, Zbigniew M; Burnett, Christine A; Dumont, Larry J et al. (2018) Apheresis buffy coat collection without photoactivation has no effect on apoptosis, cell proliferation, and total viability of mononuclear cells collected using photopheresis systems. Transfusion 58:943-950
Bossé, Yohan; Amos, Christopher I (2018) A Decade of GWAS Results in Lung Cancer. Cancer Epidemiol Biomarkers Prev 27:363-379
Pande, Mala; Joon, Aron; Brewster, Abenaa M et al. (2018) Genetic susceptibility markers for a breast-colorectal cancer phenotype: Exploratory results from genome-wide association studies. PLoS One 13:e0196245
Smith, T Jarrod; Sondermann, Holger; O'Toole, George A (2018) Co-opting the Lap System of Pseudomonas fluorescens To Reversibly Customize Bacterial Cell Surfaces. ACS Synth Biol 7:2612-2617
Gorlova, Olga Y; Li, Yafang; Gorlov, Ivan et al. (2018) Gene-level association analysis of systemic sclerosis: A comparison of African-Americans and White populations. PLoS One 13:e0189498
Schmit, Stephanie L; Edlund, Christopher K; Schumacher, Fredrick R et al. (2018) Novel Common Genetic Susceptibility Loci for Colorectal Cancer. J Natl Cancer Inst :
Cai, Yunliang; Wu, Shaoju; Zhao, Wei et al. (2018) Concussion classification via deep learning using whole-brain white matter fiber strains. PLoS One 13:e0197992

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