SOLICITATION NOTICE
70 -- Licenses, software, and maintenance support to Alma Bioinformatics
- Notice Date
- 3/4/2008
- Notice Type
- Solicitation Notice
- NAICS
- 511210
— Software Publishers
- Contracting Office
- Department of Health and Human Services, National Institutes of Health, National Library of Medicine, 8600 Rockville Pike, Bethesda, MD, 20894, UNITED STATES
- ZIP Code
- 00000
- Solicitation Number
- NLM08-075-jc
- Response Due
- 3/19/2008
- Archive Date
- 4/3/2008
- Point of Contact
- Joan Coulter, Business Opportunity Specialist, Phone 301-496-6546, Fax 301-402-0642, - Karen Riggs, Contracting Officer, Phone 301 496-6546, Fax 301 402-0642
- E-Mail Address
-
coulterj@mail.nih.gov, kr33v@nih.gov
- Description
- This is a combined synopsis/solicitation for Commercial Items prepared in accordance with the format in Federal Acquisition Regulation (FAR) Subpart 13.5, Test Program for Certain Commercial Items, as supplemented with additional information included in this announcement. This solicitation incorporates provisions and clauses in effect in the March 2005 FAR Revision, including all FAR Circulars issued as of the date of this synopsis. The NAICS Code is 511210. It is the intent of the Center for Information Technology (CIT), National Institutes of Health (NIH), to negotiate on a sole source basis with Active Motif, 1914 Palomar Oaks Way, Suite 150, Carlsbad, CA 92008, to acquire licenses to Alma Bioinformatics, S.L., AlmaKnowledgeServer Version 2.1 (AKS2) text-mining software and maintenance support for a 12-month Base Period and three (3) successive 12-month Option Periods to support the NIH Human Salivary Proteome Project. Active Motif is Alma Bioinformatics? sole authorized North American re-seller of AKS2 software and maintenance support. The Human Salivary Proteome Project is a collaborative effort, co-funded by the National Institute of Dental and Craniofacial Research (NIDCR) and CIT, to compile a catalog of proteins found in human saliva. A Wiki-based system has been developed to store experimental data and to provide a platform for researchers in the community to annotate these proteins with their functions and other pertinent information. In addition, another usage of the system will be to utilize ontologies and text-mining techniques for knowledge discovery and expertise identification. To achieve this goal, CIT and NIDCR require a text-mining software application that must meet all of the following requirements of the knowledge discovery component of the Human Salivary Proteome Wiki: (1) Able to extract and categorize biomedical concepts from free text and uncover associations between diseases, genes/proteins, chemicals, drugs, etc; (2) Can map to external authoritative databases where users can retrieve additional information; (3) Provide for intuitive interfaces that allows users to visualize publication trends and relationship networks; (4) Include listings of all the NIH PubMed abstracts in which the concepts of interest are found; (5) Ability to identify experts in any areas of research; (6) Provide the option to install the tool locally to ensure the highest level of security for Government data; (7) Able to keep data up-to-date; and (8) Provide a flexible API that third party tools can use to efficiently query the system, without which the integration of the knowledge management component to the Human Salivary Proteome Wiki would be extremely difficult. In addition, AKS2 provides the following additional unique functionalities: (A) Uses an un-biased automated text-mining technology to extract associations from journal abstracts with little or no human curation; (B) Finds associations among not only biomolecules but also associations between biomedical terms and biological actions; (C) Allows customers to get weekly updates of processed journal abstracts; and (D) Offers a unique collection of visualization and reporting features for displaying literature information derived from text analysis. To meet the needs of the researchers who use and contribute to the Human Salivary Proteome Wiki, AKS2 is necessary to enhance the knowledge discovery capability of the system. The applications of this system are far-reaching, and CIT envisions its adoption in other proteome research communities as well. CIT and NIDCR have determined that AKS2 is the only commercially available software that can meet all of the requirements stated above. This notice of intent is not a Request for Quotations (RFQ), nor is an RFQ available. However, all responsible and responsive sources may submit descriptive literature fully documenting their software products and support specifications which will be considered by the agency. Sources interested in responding to this notice must be able to provide a software product that can fulfill all of the software requirements specified above. Information received in a timely manner will be considered solely for the purpose of determining whether to conduct a competitive procurement. A determination by the Government to conduct a competition for this proposed acquisition based upon responses to this notice is solely within the discretion of the Government. This requirement is being processed for CIT and NIDCR by the National Library of Medicine (NLM). NLM intends to make an award for this commercial item in accordance with FAR Subpart 13.5, Test Program for Certain Commercial Items. The contractor shall comply with all applicable Federal, state, and local laws, executive orders, rules and regulations in effect at time of award. Full text of FAR clauses and provisions are available at: http://www.arnet.gov/far/index.html. Responses must be received by the NLM Point of Contact within ten (10) calendar days from the publication date of this notice. NLM Synopsis No. 08-075/jc shall be noted on all correspondence to this announcement. RESPONSES SHALL BE SENT VIA EMAIL TO: Joan Coulter at jc224a@nih.gov. Inquiries regarding this notice may be made to Joan Coulter (301) 496-6546; Fax 301 402-0642.
- Place of Performance
- Address: National Institutes of Health, Center for Information Technology, Room 2023, 12 South Drive, Bethesda, MD.
- Zip Code: 20892
- Country: UNITED STATES
- Zip Code: 20892
- Record
- SN01523296-W 20080306/080304223603 (fbodaily.com)
- Source
-
FedBizOpps Link to This Notice
(may not be valid after Archive Date)
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