TeSS: a platform for discovering life-science training opportunities-Reference-Cited by-同舟云学术

TeSS: a platform for discovering life-science training opportunities

Published:2020-02-11 Issue:10 Volume:36 Page:3290-3291
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Beard Niall¹^ORCID,Bacall Finn¹,Nenadic Aleksandra¹,Thurston Milo²,Goble Carole A¹,Sansone Susanna-Assunta²,Attwood Teresa K¹

Affiliation:

1. Department of Computer Science, The University of Manchester, Manchester M13 9PL, UK

2. Department of Engineering Science, Oxford e-Research Centre, University of Oxford, Oxford OX1 3QG, UK

Abstract

Abstract Summary Dispersed across the Internet is an abundance of disparate, disconnected training information, making it hard for researchers to find training opportunities that are relevant to them. To address this issue, we have developed a new platform—TeSS—which aggregates geographically distributed information and presents it in a central, feature-rich portal. Data are gathered automatically from content providers via bespoke scripts. These resources are cross-linked with related data and tools registries, and made available via a search interface, a data API and through widgets. Availability and implementation https://tess.elixir-europe.org.

Funder

ELIXIR

research infrastructure for life-science data

Biotechnology and Biological Sciences Research Council

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaa047/32977140/btaa047.pdf

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