IndiaBioDb: Bioinformatics Resources from India: A Web-based Repository

Welcome to the official documentation for the comprehensive repository of web-based bioinformatics resources developed in India. This repository was created to address the need for a centralized platform that compiles the diverse array of bioinformatics tools, databases, and software developed by Indian researchers, facilitating easier access and utilization by the global scientific community. Repository Link: http://webs.iiitd.edu.in/raghava/resources/ Citation Agarwal, A., Agrawal, P., Sharma, A., Kumar, V., Mugdal, C., & Raghava, G. P. S. (2020). A repository of web-based bioinformatics resources developed in India. bioRxiv. https://doi.org/10.1101/2020.01.21.855627 GitHub:-https://github.com/Manish-IIITD-repository/IndiaBioDb About the Platform The Indian bioinformatics community has made significant contributions to the field, developing hundreds of specialized resources. However, these tools were often scattered across various institutional websites, making them difficult to locate. This repository serves as a "one-stop shop," categorizing these resources into logical domains to enhance discoverability and promote open-source drug discovery and biological research. Statistics of the Repository Total Resources: Over 600 unique bioinformatics web servers and databases. Categorization: Resources are classified into multiple categories such as Genomics, Proteomics, Systems Biology, and Drug Discovery. Institutions: Features contributions from premier Indian institutes including IIIT-Delhi, IMTECH, IISc, and various IITs. Key Features Categorized Resource Access Genomics: Tools for sequence analysis, genome annotation, and identifying functional elements like promoters or fragile sites. Proteomics: Resources for protein structure prediction, subcellular localization, and identifying post-translational modifications. Drug Discovery: Databases and servers for identifying therapeutic peptides, vaccine candidates, and small molecule inhibitors. Immunoinformatics: Specialized tools for predicting B-cell and T-cell epitopes and understanding immune responses. User Interface & Search Keyword Search: Quickly find specific tools or databases by name, author, or function. Alphabetical & Category Browsing: Navigate through the extensive list of resources systematically. Direct Links: Provides verified and updated URLs for each resource to minimize the issue of "broken links" in bioinformatics. Technical Overview The repository is built to provide a robust and user-friendly experience for the international research community. Manual Curation: Every entry in the repository has been manually verified and categorized by experts to ensure data quality. Metadata: Each resource entry includes a brief description, primary citation, and the developing institution. Cross-Platform Compatibility: The web-based platform is accessible across all major browsers and devices. Applications Streamlining Research: Helping scientists find the right computational tools for their biological data analysis without exhaustive literature searches. Promoting Collaboration: Highlighting the expertise of various Indian research groups to foster national and international collaborations. Educational Tool: Serving as a valuable resource for students and educators in the field of computational biology. Contact & Authors Prof. Gajendra P.S. Raghava Head of Department, Computational Biology, Indraprastha Institute of Information Technology (IIIT-Delhi), New Delhi, India. Email: [e-mail] License This repository and its documentation are made available under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International (CC BY-NC-ND 4.0) License.