NAR Database

Nucleotide Sequence Databases

CEGA, JuncDB ,dbSUPER , SEA ,Dfam

RNA sequence databases

dbRES, ARED, BPS, miREX

Protein sequence databases

Pfam, PANTHER, eggNOG, GPCRdb, TCDB, MEROPS

Structure Databases

BARD, DrugBank, CheBI, mVOC

Genomics Databases (non-vertebrate)

BioGPS, GO, superCAT, IDBD

Metabolic and Signaling Pathways

KEGG, MetaCyc, Reactome, WikiPathways

Human and other Vertebrate Genomes

AgBase, ENCODE DCC, FANTOM, GeneAnnot

Human Genes and Diseases

DIDA, GeneWiki, NECTAR, TSGene

Microarray Data and other Gene Expression Databases

CEBS, CAGE, EMAGE, GEISHA

Proteomics Resources

BIOZON,CPLM,dbSNO,MOPED

Other Molecular Biology Databases

BioModels, BioNumbers, SCLD, WormBook

Organelle databases

FUGOID, GOBASE, Organelle DB, PLprot

Plant databases

AgBase, DOOR, DATF, IC4R

Immunological databases

ALPSbase, AntigenDB, IEDB, IMGT

Cell biology

BARD, CloneDB, ExoCarta, DNAtraffic

MOHD HAZIQ IZZUDDIN BIN ROSLI

SITI SUHAILA BINTI ZULKEPLE

AMANINA NADHIRAH BINTI ANUAR

NORAZIERA BINTI AHMAD

1) https://www.oxfordjournals.org/our_journals/nar/database/c/

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.

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

4) http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411498/

5) http://digitalcuration.blogspot.my/2008/04/thousand-open-molecular-biology.htm

Make biological data available to scientists

• as much as possible of a particular type of information should be available in one single place (book, site, database)

• Published data may be difficult to find or access, and collecting it from the literature is very time-consuming.

• Not all data is actually published explicitly in an article (genome sequences)

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

To manage such data deluge is growing at ever-faster rates

To store, organize and share data in a structured and searchable manner with the aim to facilitate data retrieval and visualization for humans

To provide web application programming interfaces (APIS) for computers to exchange and integrate data from various database resources in an automated manner

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

Articles

178 -62 papers are for newly created databases

95 papers for previous NAR issue

17 articles from other journals

Total 1685 databases

15 categories

41 subcategories

88 new resources

23 obsolete websites has been removed

Database are need to be up to date and have recent articles

User’ friendly for novice and experience user

Entries can be searched, queried or browsed by category

users can contribute, update and maintain the data in many different ways

data for each database include a brief description, a URL, a contact email

provides searching, editing, versioning, history and discussion features

open access in HTML and PDF format

rigid originality

have high impact

have high level for contribution in research and study

rating and evaluation provided

ease of search ,collecting , systematizing and sorting into specific category

avoid redundancy

easy for up to date

type and number of databases tha analyse, integrate and summarize the available data keep increasing

users can track databases by focusing on specific thing

The data is not update time by time

The data is not valid anymore

Old database or test database is drop after successful migration to a new host

Sometimes this is related to the content being available in other databases

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