Carole Goble

About Carole Goble:
No description specified

SEEK ID: https://workflowhub.eu/people/8

Location:  United Kingdom

ORCID: https://orcid.org/0000-0003-1219-2137

Joined: 7th Apr 2020

Expertise: Not specified

Tools: Not specified

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Independent Teams

A space managed by WorkflowHub administrators for teams that don't want/need to manage their own space.

Teams: IBISBA Workflows, NMR Workflow, UNLOCK, NanoGalaxy, Galaxy Climate, PNDB, IMBforge, COVID-19 PubSeq: Public SARS-CoV-2 Sequence Resource, LBI-RUD, Nick-test-team, usegalaxy-eu, Italy-Covid-data-Portal, UX trial team, Integrated and Urban Plant Pathology Laboratory, SARS-CoV-2 Data Hubs, lmjxteam2, virAnnot pipeline, Ay Lab, iPC: individualizedPaediatricCure, Harkany Lab, Genomics Coordination Center, EJPRD WP13 case-studies workflows, Common Workflow Language (CWL) community, Testing, SeBiMER, IAA-CSIC, MAB - ATGC, Probabilistic graphical models, GenX, Snakemake-Workflows, ODA, IPK BIT, CO2MICS Lab, FAME, CHU Limoges - UF9481 Bioinformatique / CNR Herpesvirus, Quadram Institute Bioscience - Bioinformatics, HecatombDevelopment, Institute of Human Genetics, Testing RO Crates, Test Team, Applied Computational Biology at IEG/HMGU, INFRAFRONTIER workflows

Web page: Not specified

COVID-19 Biohackathon

The goal of COVID-19-Biohackathon 2020 (COVID-19-BH20) is to develop and gather computational tools that can be useful for studying the biology of the virus and the disease.

The COVID-19 Programme in Workflow Hub aims to gather workflows for the analysis of COVID-19 molecular biology data and their metadata. In this programme, all workflows and their metadata will be curated and made interoperable, reusable and reproducible. All workflows and their metadata will be easily accessible to everyone ...

Teams: Connor Lab, GalaxyProject SARS-CoV-2, InSaFLU, nf-core viralrecon, CWL workflow SARS-CoV-2, V-Pipe, Test team

Web page: https://github.com/virtual-biohackathons/covid-19-bh20

Common Workflow Language (CWL) community

The Common Workflow Language (CWL) is an open standard for describing analysis workflows and tools in a way that makes them portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and high performance computing (HPC) environments. CWL is designed to meet the needs of data-intensive science, such as Bioinformatics, Medical Imaging, Astronomy, High Energy Physics, and Machine Learning.CWL is developed by a multi-vendor working group consisting ...

Space: Independent Teams

Public web page: https://www.commonwl.org/

Start date: 11th Jul 2014

GalaxyProject SARS-CoV-2

Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures https://covid19.galaxyproject.org

Space: COVID-19 Biohackathon

Public web page: https://github.com/galaxyproject/SARS-CoV-2

IBISBA Workflows

Workflows from the Industrial Biotechnology Innovation and Synthetic Biology Accelerator (IBISBA 1.0) project, which is funded by the European Union Horizon 2020 program INRAIA-02 under grant agreement 730976.

The workflows also appear on https://hub.ibisba.eu

Space: Independent Teams

Public web page: https://www.ibisba.eu

Methods Included: Standardizing Computational Reuse and Portability with the Common Workflow Language
Common Workflow Language (CWL) community

Abstract (Expand)

A widely used standard for portable multilingual data analysis pipelines would enable considerable benefits to scholarly publication reuse, research/industry collaboration, regulatory cost control, and … to the environment. Published research that used multiple computer languages for their analysis pipelines would include a complete and reusable description of that analysis that is runnable on a diverse set of computing environments. Researchers would be able to easier collaborate and reuse these pipelines, adding or exchanging components regardless of programming language used; collaborations with and within the industry would be easier; approval of new medical interventions that rely on such pipelines would be faster. Time will be saved and environmental impact would also be reduced, as these descriptions contain enough information for advanced optimization without user intervention. Workflows are widely used in data analysis pipelines, enabling innovation and decision-making for the modern society. In many domains the analysis components are numerous and written in multiple different computer languages by third parties. However, lacking a standard for reusable and portable multilingual workflows, then reusing published multilingual workflows, collaborating on open problems, and optimizing their execution would be severely hampered. Moreover, only a standard for multilingual data analysis pipelines that was widely used would enable considerable benefits to research-industry collaboration, regulatory cost control, and to preserving the environment. Prior to the start of the CWL project, there was no standard for describing multilingual analysis pipelines in a portable and reusable manner. Even today / currently, although there exist hundreds of single-vendor and other single-source systems that run workflows, none is a general, community-driven, and consensus-built standard. Preprint, submitted to Communications of the ACM (CACM).

Authors: Michael R. Crusoe, Sanne Abeln, Alexandru Iosup, Peter Amstutz, John Chilton, Nebojša Tijanić, Hervé Ménager, Stian Soiland-Reyes, Carole Goble

Date Published: 14th May 2021

Publication Type: Unpublished

BioExcel Building Blocks, a software library for interoperable biomolecular simulation workflows
BioBB Building Blocks

Abstract (Expand)

In the recent years, the improvement of software and hardware performance has made biomolecular simulations a mature tool for the study of biological processes. Simulation length and the size and … complexity of the analyzed systems make simulations both complementary and compatible with other bioinformatics disciplines. However, the characteristics of the software packages used for simulation have prevented the adoption of the technologies accepted in other bioinformatics fields like automated deployment systems, workflow orchestration, or the use of software containers. We present here a comprehensive exercise to bring biomolecular simulations to the “bioinformatics way of working”. The exercise has led to the development of the BioExcel Building Blocks (BioBB) library. BioBB’s are built as Python wrappers to provide an interoperable architecture. BioBB’s have been integrated in a chain of usual software management tools to generate data ontologies, documentation, installation packages, software containers and ways of integration with workflow managers, that make them usable in most computational environments.

Authors: Pau Andrio, Adam Hospital, Javier Conejero, Luis Jordá, Marc Del Pino, Laia Codo, Stian Soiland-Reyes, Carole Goble, Daniele Lezzi, Rosa M. Badia, Modesto Orozco, Josep Ll. Gelpi

Date Published: 1st Dec 2019

Publication Type: Journal

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