Varstation: a complete and efficient tool to support NGS data analysis
Á.C. Faria, Marcel Pinheiro CaracioloiD, RM Minillo, Tatiana Ferreira de AlmeidaiD, SM Pereira, MC Cervato, JBO Filho
Abstract
SummaryVarstation is a cloud-based NGS data processor and analyzer for human genetic variation. This resource provides a customizable, centralized, safe and clinically validated environment aiming to improve and optimize the flow of NGS analyses and reports related with clinical and research genetics.\n\nAvailability and implementationVarstation is freely available at http://varstation.com, for academic use.\n\nContactcontact@varstation.com\n\nSupplementary informationSupplementary data are available at Bioinformatics online.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 10
- Organism
- 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
- VarSome: The Human Genomic Variant SearchEngine
Christos Kopanos, Vasilis Tsiolkas, … Andreas Massouras·BioinformaticsPeer-reviewed·Oct 29, 2018
- ViennaNGS: A toolbox for building efficient next-generation sequencing analysis pipelines
Michael T. Wolfinger, Jörg Fallmann, … Fabian Amman·F1000ResearchPeer-reviewed·Feb 20, 2015
- JfxNgs : A BAM/VCF viewer with javascript-based filtering/reformatting functionalities
Pierre Lindenbaum, Matilde Karakachoff, Richard Redon·bioRxiv·Mar 24, 2017
- NGSpop: A desktop software that supports population studies by identifying sequence variations from next-generation sequencing data
Dong-Jun Lee, Taesoo Kwon, … Tae‐Ho Lee·PLoS ONEPeer-reviewed·Nov 17, 2022
- VisVariant: A java program to visualise genetic variants in next-generation sequencing data
King Wai Lau, Michelle Kleeman, … Attila Tibor Lorincz·bioRxiv·Feb 12, 2021
- easyfm : An easy software suite for file manipulation of Next Generation Sequencing data on desktops
Hyungtaek Jung, Brendan Jeon, Daniel Ortíz-Barrientos·bioRxiv·Sep 29, 2021