GPSRdocker: A Docker-based Resource for Genomics, Proteomics and Systems biology
Piyush AgrawaliD, Rajesh KumariD, Salman Sadullah UsmaniiD, Anjali DhalliD, Sumeet PatiyaliD, Neelam SharmaiD, Harpreet KauriD, Vinod D. KumariD, Dilraj KauriD, Shipra JainiD, Akshara PandeiD, Sherry BhallaiD, Gajendra P. S. RaghavaiD
Abstract
BackgroundIn past number of web-based resources has been developed in the field of Bioinformatics. These resources are heavily used by scientific community to provide solution for challenges faced by experimental researchers particularly in the field of biomedical sciences. There are number of challenges in utilizing full potential of these services that includes internet speed, limits on computing power, and security of data. In order to enhance utilities of these web-based assets, we developed a docker-based container that integrates large number resources available in literature.\n\nResultsThis paper describes GPSRdocker a docker-based container developed for providing wide-range of computational tools in the field of bioinformatics particularly in genomics, proteomics and system biology. Majority of tools integrated in GPSRdocker are based on web services developed at Raghavas group in last two decades. Broadly, these tools can be categorized in three categories; i) general scripts, ii) supporting software and iii) major standalone software. In order to facilitate students or developers working in the field of bioinformatics, we developed general scripts in Perl and Python. These general-purpose scripts serve as building block for any bioinformatics tools like computing features/descriptors of a protein. Supporting software packages includes SCIKIT, WEKA, SVMlight, and PSI-BLAST; these software packages allow one to develop/implement bioinformatics software. Major Standalone software is core of this container which allows predicting function/class of biomolecules. These tools can be classified broadly in following categories; protein annotation, epitope-based vaccines, prediction of interaction and drug discovery.\n\nConclusionA docker-based container has been developed which can be easily run on any operating system as well as it can be directly ported on cloud. Scripts can be run to build pipelines for addressing problems at system level like prediction of vaccine candidate for a pathogen. GPSRdocker including manual is available free for academic use from https://webs.iiitd.edu.in/gpsrdocker.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 8
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- BioContainers Registry: searching for bioinformatics tools, packages and containers
Jingwen Bai, Chakradhar Bandla, … Yasset Pérez‐Riverol·Journal of Proteome ResearchPeer-reviewed·Feb 24, 2021
- Building containerized workflows using the BioDepot-workflow-builder (Bwb)
Ling‐Hong Hung, Jiaming Hu, … Ka Yee Yeung·Cell SystemsPeer-reviewed·Sep 11, 2019
- Reproducible Bioinformatics Project: A community for reproducible bioinformatics analysis pipelines
Neha Kulkarni, Luca Alessandrì, … Raffaele Calogero·BMC BioinformaticsPeer-reviewed·Oct 1, 2018
- BGDMdocker: an workflow base on Docker for analysis and visualization pan-genome and biosynthetic gene clusters of bacterial
Gong Cheng, Quan Lu, … Chao Chen·bioRxiv·Feb 3, 2017
- WAVES: a Web Application for Versatile Enhanced bioinformatic Services
Marc Chakiachvili, Sylvain Milanesi, … Vincent Lefort·BioinformaticsPeer-reviewed·Jul 24, 2018
- Bio-Docklets: Virtualization Containers for Single-Step Execution of NGS Pipelines.
Baekdoo Kim, Thahmina A. Ali, … Konstantinos Krampis·GigaSciencePeer-reviewed·Jun 27, 2017