3 materials found

Target audience: software developers, bioinf... 


EMBL-ABR workshop on Open Source and Software Development Best Practice

This workshop will provide an interactive forum to discuss, review and gain an overview of Open Source and Software Development and will be based on content from the ELIXIR Software Development Best Practices group and aims to explore how to harmonise EMBL-ABR efforts in this area

Scientific topics: Software engineering

Keywords: bioinformatics

EMBL-ABR workshop on Open Source and Software Development Best Practice https://tess.elixir-europe.org/materials/embl-abr-workshop-on-open-source-and-software-development-best-practice This workshop will provide an interactive forum to discuss, review and gain an overview of Open Source and Software Development and will be based on content from the ELIXIR Software Development Best Practices group and aims to explore how to harmonise EMBL-ABR efforts in this area Rafael C Jimenez Jason Williams Software engineering bioinformatics software developers, bioinformaticians
BioJS

Introduction to BioJS a standard for visualisation of biological data in JavaScript

Keywords: Biojs, Javascript, Software, Standards

BioJS https://tess.elixir-europe.org/materials/biojs-1ff5ad84-3b06-4997-bba6-e18a4dcf32c0 Introduction to BioJS a standard for visualisation of biological data in JavaScript Biojs, Javascript, Software, Standards software developers, bioinformaticians 2014-02-27 2017-10-09
SV-Autopilot: the new face of Structural Variant Detection

Although there are many tools designed for structural variation (SV) analysis there has been no bench mark study to guide scientists in choosing the best tool for their particular data set. In this test case, AllBio Test Case 2 – Identification of Large Structural Variants, a researcher is eager...

Keywords: Ngs bioinformatics, Structural variations

SV-Autopilot: the new face of Structural Variant Detection https://tess.elixir-europe.org/materials/sv-autopilot-the-new-face-of-structural-variant-detection Although there are many tools designed for structural variation (SV) analysis there has been no bench mark study to guide scientists in choosing the best tool for their particular data set. In this test case, AllBio Test Case 2 – Identification of Large Structural Variants, a researcher is eager to identify large structural variants in multiple accessions of Arabidopsis. What is needed is a tool which can identify the type and quality of the sequencing reads, assemble them with regards to a reference genome, and predict large structural variants (>30nt). Lastly, it is desirable that the tool should have a user-friendly interface with which bench scientists can easily examine structural variants in their accession(s) of interest that need to be validated. Here we have not only created the benchmark data, but have also created a Virtual Machine framework that can automate this process using multiple SV prediction algorithms in parallel and refine the output to reduce false positive calls. We call this SV-AUTOPILOT, a Structural Variation AUTOmated PIpeLine Optimization Tool. This tool was tested by participants during the workshop. Link to SV-Autopilot: https://github.com/ALLBio/allbiotc2 Ngs bioinformatics, Structural variations Biologists bioinformaticians software developers, bioinformaticians 2014-09-10 2017-10-09