scholarly journals Biological Databases- Integration of Life Science Data

2012 ◽  
Vol 04 (05) ◽  
Author(s):  
Nishant Toomula, ◽  
Arun Kumar ◽  
Sathish Kumar D ◽  
Vijaya Shanti Bheemidi
Keyword(s):  
Life Science ◽  
Biological Databases ◽  
Science Data

Eukaryotic Molecular Biology Databases: An Overview

2018 ◽  
pp. 1-7 ◽  
Author(s):  
Kumar Girish
Keyword(s):  
High Performance ◽  
Life Science ◽  
Science Studies ◽  
Biological Database ◽  
Biological Databases ◽  
Science Data ◽  
Molecular Databases ◽  
Experimental Technology ◽  
Protein Information Resource ◽  
Swiss Institute

A biological database is a big, structured body of continuous information, generally connected with computerized software intended to update, query, and recover information elements deposited within the framework. A straightforward database could be a single folder comprising several data, each carrying the same number of data. Such famous databases are GenBank from the National Center for Biotechnology Information, SwissProt from the Swiss Institute of Bioinformatics and PIR from the Protein Information Resource. Biological databases are bibliotheques of life science data, gathered from science studies, published literature, high-performance experimental technology, and computational analysis. Here we brefly described some recently published molecular databases.

scholarly journals FCC – An automated rule-based processing tool for life science data

2013 ◽  
Vol 8 (1) ◽  
pp. 3 ◽  
Author(s):  
Simon Barkow-Oesterreicher ◽  
Can Türker ◽  
Christian Panse
Keyword(s):  
Life Science ◽  
Science Data ◽  
Rule Based

Refined JST Thesaurus Extended with Data from Other Open Life Science Data Sources

2017 ◽  
pp. 35-48 ◽  
Author(s):  
Tatsuya Kushida ◽  
Yuka Tateisi ◽  
Takeshi Masuda ◽  
Katsutaro Watanabe ◽  
Katsuji Matsumura ◽  
...  
Keyword(s):  
Life Science ◽  
Data Sources ◽  
Science Data

scholarly journals Human-readable and machine-readable Persistent Identifiers

2015 ◽  
Author(s):  
Martin Fenner
Keyword(s):  
Life Science ◽  
Fundamental Problem ◽  
Science Data ◽  
Important Paper ◽  
Simple Rules ◽  
Machine Readable

Yesterday Julie McMurry and co-authors published a preprint 10 Simple rules for design, provision, and reuse of persistent identifiers for life science data. This is an important paper trying to address a fundamental problem: how can we make persistent ...

INTEGRATION OF RUSSIAN MICROBIAL GENETIC RESOURCES IN EUROPEAN SYSTEM HORISON 2020

2020 ◽  
pp. 246-247
Author(s):  
M. Vasilenko ◽  
O. Stupar ◽  
G. Kochkina ◽  
S. Ozerskaya
Keyword(s):  
Genetic Resources ◽  
Life Science ◽  
Information Flows ◽  
Biological Databases ◽  
Biological Resource ◽  
Science System ◽  
European System ◽  
Biological Resource Centers

A scheme of organizing the integration of information flows about microbial genetic resources supported by the European Biological Resource Centers (MBRC) with biological databases of the Life Science system is presented.

scholarly journals RIKEN MetaDatabase

2018 ◽  
Vol 14 (1) ◽  
pp. 140-164 ◽  
Author(s):  
Norio Kobayashi ◽  
Satoshi Kume ◽  
Kai Lenz ◽  
Hiroshi Masuya
Keyword(s):  
Graphical User Interface ◽  
Life Science ◽  
Data Distribution ◽  
Image Databases ◽  
Technical Knowledge ◽  
Science Data ◽  
Description Framework ◽  
Database Platform ◽  
Resource Description ◽  
The Web

Recently, the number and heterogeneity of life science datasets published on the Web have increased significantly. However, biomedical scientists face numerous serious difficulties finding, using and publishing useful databases. To address these issues, the authors developed a Resource Description Framework-based database platform, called the RIKEN MetaDatabase (http://metadb.riken.jp), that allows biologists to develop, publish and integrate multiple databases easily. The platform manages the metadata of both research and individual data described using standardised vocabularies and ontologies, and has a simple browser-based graphical user interface to view data including tabular and graphical forms. The platform was released in April 2015, and 113 databases, including mammalian, plant, bioresource and image databases, with 26 ontologies have been published using this platform as of January 2017. This paper describes the technical knowledge obtained through the development and operation of the RIKEN MetaDatabase to accelerate life science data distribution.

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