类别 全部 - databases - automation - accessibility - integration

作者:noraziera ahmad 8 年以前

366

NAR Database

The proliferation of databases necessitates their grouping to minimize redundancy, streamline searches, and enhance data tracking for users. This organizational effort ensures data remains current and easily retrievable.

NAR Database

NAR Database

5 Why some databases are no longer in the the databases and dropped from it

Authors and curators receive little or no remuneration for their efforts and that it is still difficult to obtain money for creating and maintaining a biological database
Sometimes this is related to the content being available in other databases
Old database or test database is drop after successful migration to a new host
The data is not valid anymore
The data is not update time by time

4 Why we need to group these databases

users can track databases by focusing on specific thing
type and number of databases tha analyse, integrate and summarize the available data keep increasing
easy for up to date
avoid redundancy
ease of search ,collecting , systematizing and sorting into specific category

3 Criteria for selection into NAR databases

rating and evaluation provided
have high level for contribution in research and study
have high impact
rigid originality
open access in HTML and PDF format
provides searching, editing, versioning, history and discussion features
data for each database include a brief description, a URL, a contact email
users can contribute, update and maintain the data in many different ways
Entries can be searched, queried or browsed by category
User’ friendly for novice and experience user
Database are need to be up to date and have recent articles

2 Numbers available

23 obsolete websites has been removed
88 new resources
Total 1685 databases
41 subcategories
15 categories
Articles
17 articles from other journals
95 papers for previous NAR issue
178 -62 papers are for newly created databases

6 Why databases are created and shared

Present as a collection of human-related biological databases and provide a mini-review by classifying them into different categories according to their data types
To provide web application programming interfaces (APIS) for computers to exchange and integrate data from various database resources in an automated manner
To store, organize and share data in a structured and searchable manner with the aim to facilitate data retrieval and visualization for humans
To manage such data deluge is growing at ever-faster rates
To make biological data available in computer-readable form
• Since analysis of biological data almost always involves computers, having the data in computer-readable form rather than printed on paper is a necessary first step
Make biological data available to scientists
• Not all data is actually published explicitly in an article (genome sequences)
• Published data may be difficult to find or access, and collecting it from the literature is very time-consuming.
• as much as possible of a particular type of information should be available in one single place (book, site, database)

7 References

5) http://digitalcuration.blogspot.my/2008/04/thousand-open-molecular-biology.htm
4) http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411498/
3) Dan M. Bolser and etc (2011) MetaBase - the wiki - database of biological databases Nucleic Acids Research, 2012, Vol. 40, Database issue doi:10.1093/nar/gkr1099
2) Rigden, D. J., Fernández-Suárez, X. M., & Galperin, M. Y. (2016). The 2016 database issue of Nucleic Acids Research and an updated molecular biology database collection. Nucleic acids research, 44(D1), D1-D6.
1) https://www.oxfordjournals.org/our_journals/nar/database/c/

8 Prepared by: Group 20

NORAZIERA BINTI AHMAD
AMANINA NADHIRAH BINTI ANUAR
SITI SUHAILA BINTI ZULKEPLE
MOHD HAZIQ IZZUDDIN BIN ROSLI

1 Organisation of databases and its major grouping (as of 2016)

Cell biology
BARD, CloneDB, ExoCarta, DNAtraffic
Immunological databases
ALPSbase, AntigenDB, IEDB, IMGT
Plant databases
AgBase, DOOR, DATF, IC4R
Organelle databases
FUGOID, GOBASE, Organelle DB, PLprot
Other Molecular Biology Databases
BioModels, BioNumbers, SCLD, WormBook
Proteomics Resources
BIOZON,CPLM,dbSNO,MOPED
Microarray Data and other Gene Expression Databases
CEBS, CAGE, EMAGE, GEISHA
Human Genes and Diseases
DIDA, GeneWiki, NECTAR, TSGene
Human and other Vertebrate Genomes
AgBase, ENCODE DCC, FANTOM, GeneAnnot
Metabolic and Signaling Pathways
KEGG, MetaCyc, Reactome, WikiPathways
Genomics Databases (non-vertebrate)
BioGPS, GO, superCAT, IDBD
Structure Databases
BARD, DrugBank, CheBI, mVOC
Protein sequence databases
Pfam, PANTHER, eggNOG, GPCRdb, TCDB, MEROPS
RNA sequence databases
dbRES, ARED, BPS, miREX
Nucleotide Sequence Databases
CEGA, JuncDB ,dbSUPER , SEA ,Dfam