Code-free bioinformatics pipeline for building biological databases used to construct cardiovascular-SNPDB: an online database for SNPs associated with cardiovascular metabolites
- Published
- Accepted
- Subject Areas
- Bioinformatics, Cardiology, Medical Genetics, Data Science
- Keywords
- Bioinformatics, Databases, Cardiovascular Metabolites
- Copyright
- © 2017 Tarek
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2017. Code-free bioinformatics pipeline for building biological databases used to construct cardiovascular-SNPDB: an online database for SNPs associated with cardiovascular metabolites. PeerJ Preprints 5:e3189v1 https://doi.org/10.7287/peerj.preprints.3189v1
Abstract
Biological databases are of great importance for managing biological research data. Building databases has been a code-based process that requires integrative coding skills of different languages. Herein, we present a code-free pipeline that helps biologists to build their databases with no need for coding skills providing searchable downloadable and editable databases using Google Apps. We provided an example for an online tool including a database of SNPs associated with cardiovascular Metabolites, allowing basic features like browsing, downloading, filtering and printing. We also described a stepwise pipeline for building such an interactive database. Cardiovascular-SNPDB was made available at : https://sites.google.com/view/cvdsnpdb/browse/ .
Author Comment
A code-free pipeline helping biologists to easily build bioinformatics Databases