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Giriprakash Palanisamy

Researcher at Oak Ridge National Laboratory

Publications -  10
Citations -  688

Giriprakash Palanisamy is an academic researcher from Oak Ridge National Laboratory. The author has contributed to research in topics: Metadata & Metadata repository. The author has an hindex of 4, co-authored 10 publications receiving 575 citations. Previous affiliations of Giriprakash Palanisamy include University of Colorado Boulder.

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Journal ArticleDOI

Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications.

Pelin Yilmaz, +109 more
- 01 May 2011 - 
TL;DR: To establish a unified standard for describing sequence data and to provide a single point of entry for the scientific community to access and learn about GSC checklists, the minimum information about any (x) sequence is presented (MIxS).
Journal ArticleDOI

Data sharing and retrieval using OAI-PMH

TL;DR: Mercury’s capabilities with multiple metadata formats, in general, are described and, more specifically, the results of the OAI-PMH implementations and the lessons learned are described.
Journal ArticleDOI

Mercury: reusable metadata management, data discovery and access system

TL;DR: Mercury is a federated metadata harvesting, search and retrieval tool based on both open source packages and custom software developed at Oak Ridge National Laboratory, which uses a service-oriented architecture (SOA) approach to capturing and managing metadata in support of twelve Earth science projects.
Journal ArticleDOI

The “Minimum Information about an ENvironmental Sequence” (MIENS) specification

Pelin Yilmaz, +83 more
- 16 Nov 2010 - 
TL;DR: The Genomic Standards Consortium's (GSC) Minimum Information about an ENvironmental Sequence (MIENS) standard for describing marker genes as discussed by the authors has been adopted for gene annotation.
Posted Content

Digitizing scientific data and data retrieval techniques

TL;DR: In the recent years, there has been significant advancement in the areas of scientific data management and retrieval techniques, particularly in terms of standards and protocols for archiving data and metadata.