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Bioinformatics Shared Resource

$102,903P30FY2017CANIH

Roswell Park Cancer Institute Corp, Buffalo NY

Investigators

Linked publications, trials & patents

Trial NCT07082270Trial NCT06202066Trial NCT05589844Trial NCT05338905Trial NCT05292521Trial NCT05231122Trial NCT04607291Trial NCT04533542Trial NCT04530812Trial NCT04526587Trial NCT04379518Trial NCT04358315Trial NCT04348747Trial NCT04298606Trial NCT04290962Trial NCT04269213Trial NCT04231539Trial NCT04207190Trial NCT04119830Trial NCT04110249Trial NCT04109924Trial NCT04093323Trial NCT04081389Trial NCT04073745Trial NCT04068649Trial NCT04067830Trial NCT04060446Trial NCT04032418Trial NCT04000581Trial NCT03965234Trial NCT03935347Trial NCT03899987Trial NCT03897270Trial NCT03895918Trial NCT03881735Trial NCT03880422Trial NCT03879694Trial NCT03865472Trial NCT03851081Trial NCT03793907Trial NCT03789877Trial NCT03751449Trial NCT03751436Trial NCT03736720Trial NCT03735589Trial NCT03735095Trial NCT03727789Trial NCT03727061Trial NCT03709550Trial NCT03691376Trial NCT03688945Trial NCT03685695Trial NCT03683147Trial NCT03680235Trial NCT03679585Trial NCT03679559Trial NCT03678350Trial NCT03630601Trial NCT03574792Trial NCT03457142Trial NCT03403634Trial NCT03384836Trial NCT03358719Trial NCT03348748Trial NCT03333486Trial NCT03297489Trial NCT03211416Trial NCT03206047Trial NCT03192397Trial NCT03090412Trial NCT03017131Trial NCT03011736Trial NCT02965976Trial NCT02955290Trial NCT02953457Trial NCT02947386Trial NCT02877641Trial NCT02857374Trial NCT02853318Trial NCT02833506Trial NCT02713373Trial NCT02650986Trial NCT02575885Trial NCT02575508Trial NCT02531906Trial NCT02474095Trial NCT02455557Trial NCT02452463Trial NCT02414724Trial NCT02399215Trial NCT02393755Trial NCT02334865Trial NCT02287727Trial NCT02227940Trial NCT02170389Trial NCT02166905Trial NCT02159950Trial NCT02119728Trial NCT02100254Trial NCT02072486

Abstract

Formally established in mid-2010 to address the growing demand for in-depth bioinformatics support from CCSG investigators of Roswell Park Cancer Institute, the Bioinformatics Shared Resource is a new full Shared Resource. A key mission of the Resource is to provide state-of-art bioinformatics assistance for the design, analysis, and interpretation of genomics, proteomics, and other high-resolution, high-throughput based studies for better understanding of cancer biology, thereby facilitating translation of cancer omics discoveries to cancer treatment. Services include: directing the design of high-throughput experiments, raw omics data processing, data analysis and interpretation, data mining and integration, assistance in the design and deployment of appropriate informatics infrastructure for data sharing and management, reviewing and preparing grants and manuscripts, software evaluation, new method and database development, and education and training. The bioinformatics expertise provided by the resource personnel ensures that the yield of useful information from the scientific studies conducted at RPCI is maximized while costs are minimized. The Resource leaders are Song Liu, PhD (GN), Resource Director and Vice Chair of RPCI's Department of Biostatistics and Bioinformatics, and Jianmin Wang, PhD (GN), Resource Co-Director. The Bioinformatics Resource and the Biostatistics Resource coordinate service and support activities through regular planning meetings, ensuring the CCSG investigators have full analytic coverage from clinical and preclinical biostatistics to statistical genetics and to bioinformatics, while receiving focused support on each discipline. In addition, the Resource has developed a synergistic working relationship with the Genomics, Clinical Data Network, Pathology Resource Network, and Data Bank and BioRepository Shared Resources and the Information Technology department to ensure coordination of experiment and analytics through the different phases of a cancer research project. Potential collaborators learn about the Resource via referrals by CCSG members, formal seminars given by Resource personnel, CCSG Program meetings, the Scientific Review Committee, the RPCI website, and general announcements to the Institute's scientific community. Prioritization for use is given to 1) peer-reviewed funded RPCI CCSG members; 2) non-peer-reviewed funded CCSG members; 3) non-members and academic collaborators; and 4) external users. During the reporting period, the Bioinformatics Shared Resource served 113 members from 6 research programs, with 37% utilization by CCSG members with peer-reviewed funding. CCSG funding comprises 5% of the overall proposed budget

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