U24HG004059

Bioconductor: An Open-Source, Open-Development Computing Resource for Genomics - Project Summary

Bioconductor is a project dedicated to the analysis and interpretation of high throughput genomic data, including sequencing, microarray, flow cytometry, proteomics, and imaging data. Bioconductor is based on the R statistical programming language. It consists of software, annotation, and data packages developed and contributed by individuals funded by this grant, and by the national and international scientific community.

Bioconductor is highly respected, widely used in the global bioinformatics community, highly cited, and has formal collaborative alignments with the Human Cell Atlas and NHGRI's Genomic Analysis, Visualization, and Informatics Lab Space (ANVIL).

Work proposed in this renewal application reflects the commitment of the project to open-source/open-development creation and distribution of portable tools for genomic data science, high-quality documentation and support for users and developers, adaptation of computational methods to new technologies for cloud-scale data science, and effective training of the workforce for genome biology and personalized genomic medicine.

The specific aims are:

1. Maintenance and enhancement of the system at Bioconductor.org for organizing and distributing analytic software, reference data, and curated experimental data.

2. Hardening of core infrastructural software packages to increase reliability and throughput of analyses based on the system.

3. Conduct research and development of best practices for taking advantage of scalable computing strategies for integrative cloud-scale genomic analysis.

4. Enhance community engagement and education practices that have been intrinsic to the project since its inception.

By pursuing these aims, project investigators and contributors add to the usability, relevance, and robustness of a system and community that is unique and is uniquely situated to accelerate progress in many areas of genomic data science, ultimately contributing to biological knowledge and improvement of human health.

Dana-Farber Cancer Institute

NHGRI SUPPORTS THE DEVELOPMENT OF RESOURCES AND TECHNOLOGIES THAT WILL ACCELERATE GENOME RESEARCH AND ITS APPLICATION TO HUMAN HEALTH AND GENOMIC MEDICINE. A CRITICAL PART OF THE NHGRI MISSION CONTINUES TO BE THE STUDY OF THE ETHICAL, LEGAL AND SOCIAL IMPLICATIONS (ELSI) OF GENOME RESEARCH. NHGRI ALSO SUPPORTS THE TRAINING AND CAREER DEVELOPMENT OF INVESTIGATORS AND THE DISSEMINATION OF GENOME INFORMATION TO THE PUBLIC AND TO HEALTH PROFESSIONALS. THE SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM IS USED TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, TO INCREASE SMALL BUSINESS PARTICIPATION IN FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION. THE SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM IS USED TO FOSTER SCIENTIFIC AND TECHNOLOGICAL INNOVATION THROUGH COOPERATIVE RESEARCH AND DEVELOPMENT CARRIED OUT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO FOSTER TECHNOLOGY TRANSFER BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION.

93.172 - Human Genome Research

National Human Genome Research Institute (NHGRI) [HHS - NIH]

Boston, Massachusetts 022155418 United States

Single Zip Code

Genomic Community Resources (U24) (PAR-17-273)

Amendment Since initial award the total obligations have increased 424% from $1,335,931 to $6,999,640.