Expertise: Bioinformatics, Computer Science, Data Management, Genetics, Genomics, Machine Learning, Metagenomics, NGS, Scientific workflow developement, Software Engineering
Tools: Databases, Galaxy, Genomics, Jupyter notebook, Machine Learning, Nextflow, nf-core, PCR, Perl, Python, R, rtPCR, Snakemake, Transcriptomics, Virology, Web, Web services, Workflows
Dad, husband and PhD. Scientist, technologist and engineer. Bibliophile. Philomath. Passionate about science, medicine, research, computing and all things geeky!
Teams: EU-Openscreen, OME
Organizations: Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, /

Expertise: Cheminformatics, Bioinformatics
Teams: MAB - ATGC
Organizations: Centre National de la Recherche Scientifique (CNRS)

Roles: Project Coordinator
Expertise: Bioinformatics, Genomics, algorithm, Machine Learning, Metagenomics, NGS, Computer Science
Tools: Transcriptomics, Genomics, Python, C/C++, Web services, Workflows
Expertise: Bioinformatics, Biostatistics, Metabarcoding, Metagenomics
Teams: Harkany Lab
Organizations: Medical University of Vienna

Expertise: Systems Biology, Bioengineering, Bioinformatics, Neuroscience
Tools: Workflows, Machine Learning, Transcriptomics
Expertise: Bioinformatics
Bioinformatician in Stockholm, Sweden. Lead for nf-core and MultiQC projects.
Teams: V-Pipe
Organizations: SIB - Swiss Institute of Bioinformatics

Expertise: Bioinformatics, Software Engineering
Medical doctor and bioinformatician
Developer from the Swiss Institute of Bioinformatics (SIB) Working at the Computational Biology Group (CBG) of ETH Zurich.
Diplom in Medicine. MSc in Bioinformatics and Proteomics.
I am also a ski teacher as a hobby.
Teams: IBISBA Workflows
Organizations: Unspecified
Expertise: Bioinformatics
Tools: Workflows, Web services, Python
Teams: GalaxyProject SARS-CoV-2
Organizations: BC Centre for Disease Control

Expertise: Bioinformatics, Data Management, Molecular Biology
Tools: Databases, PCR, Workflows, Web services
Keynote Presented at the ICTeSSH 2021 Conference to Social Science and Humanities. ICTeSSH 2021, 30th June 2021
https://ictessh.uns.ac.rs/ In data intensive science multi-step tool-chains are widely used to help scientists manage, analyze, and share increasing volumes of complex data. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for scalable data processing, the exchange of processing know-how, and ...
Creator: Carole Goble
Submitter: Carole Goble
Keynote JOBIM 2021 (French Bioinformatics Conference)
FAIR Computational Workflows https://jobim2021.sciencesconf.org/ 8 July 2021
Computational workflows capture precise descriptions of the steps and data dependencies needed to carry out computational data pipelines, analysis and simulations in many areas of Science, including the Life Sciences. The use of computational workflows to manage these multi-step computational processes has accelerated in the past few years driven by the need for ...
Creator: Carole Goble
Submitter: Carole Goble