NDLI: High-throughput visual analytics biological sciences: turning data into knowledge

Content Provider	ACM Digital Library
Author	Oehmen, Christopher S McCue, Lee Ann Waters, Katrina Peterson, Elena Shah, Anuj Baxter, Douglas Klicker, Kyle Singhal, Mudita Adkins, Joshua N. Carlson, Tim Cannon, William R. Webb-Robertson, Bobbie-Jo
Abstract	For the SC\|06 analytics challenge, we demonstrate an end-to-end solution for processing data produced by high-throughput mass spectrometry (MS)-based proteomics so biological hypotheses can be explored. This approach is based on a tool called the Bioinformatics Resource Manager (BRM) which will interact with high-performance architecture and experimental data sources to provide high-throughput analytics to a specific experimental dataset. Peptide identification was achieved by a high-performance code, Polygraph, which has been shown to scale well beyond 1000 processors. Visual analytics applications such as PQuad, Cytoscape, or others may be used to visualize protein identities in the context of pathways using data from public repositories such as Kyoto Encyclopedia of Genes and Genomes (KEGG). The end result was that a user can go from experimental spectra to pathway data in a single workflow reducing time-to-solution for analyzing biological data from weeks to minutes.
File Format	HTM / HTML
ISBN	0769527000
DOI	10.1145/1188455.1188769
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-11-11
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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High-throughput visual analytics biological sciences: turning data into knowledge