David R Powell1, Torsten Seemann. 1. Victorian Bioinformatics Consortium, Monash University, Clayton 3800, Australia.
Abstract
SUMMARY: Velvet is a popular open-source de novo genome assembly software tool, which is run from the Unix command line. Most of the problems experienced by new users of Velvet revolve around constructing syntactically and semantically correct command lines, getting input files into acceptable formats and assessing the output. Here, we present Velvet Assembler Graphical User Environment (VAGUE), a multi-platform graphical front-end for Velvet. VAGUE aims to make sequence assembly accessible to a wider audience and to facilitate better usage amongst existing users of Velvet. AVAILABILITY AND IMPLEMENTATION: VAGUE is implemented in JRuby and targets the Java Virtual Machine. It is available under an open-source GPLv2 licence from http://www.vicbioinformatics.com/. CONTACT: torsten.seemann@monash.edu.
SUMMARY: Velvet is a popular open-source de novo genome assembly software tool, which is run from the Unix command line. Most of the problems experienced by new users of Velvet revolve around constructing syntactically and semantically correct command lines, getting input files into acceptable formats and assessing the output. Here, we present Velvet Assembler Graphical User Environment (VAGUE), a multi-platform graphical front-end for Velvet. VAGUE aims to make sequence assembly accessible to a wider audience and to facilitate better usage amongst existing users of Velvet. AVAILABILITY AND IMPLEMENTATION: VAGUE is implemented in JRuby and targets the Java Virtual Machine. It is available under an open-source GPLv2 licence from http://www.vicbioinformatics.com/. CONTACT: torsten.seemann@monash.edu.
Authors: Adonney Allan de Oliveira Veras; Pablo Henrique Caracciolo Gomes de Sá; Vasco Azevedo; Artur Silva; Rommel Thiago Jucá Ramos Journal: Bioinformation Date: 2013-09-23
Authors: Marco A Albuquerque; Bruno M Grande; Elie J Ritch; Prasath Pararajalingam; Selin Jessa; Martin Krzywinski; Jasleen K Grewal; Sohrab P Shah; Paul C Boutros; Ryan D Morin Journal: Gigascience Date: 2017-05-01 Impact factor: 6.524