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University of Bergen
- Bergen, Norway
- https://orcid.org/0000-0002-1509-4981
- in/matuskalas
- @matuskalas
- @matuskalas.bsky.social
Stars
preliminary investigation of biocViews in relation to EDAM ontology
Solving i18n for client-side and resource-constrained environments.
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
A collection of Galaxy-related training material
Search strings for finding SDG-related works per goal and target (python script, WoS search strategy)
Australian BioCommons ToolFinder and WorkflowFinder: contains tool and workflow install status
Galaxy Communities Dock aka Galaxy Codex: catalog of Galaxy resources (tools, training, workflows)
A utility constructing bio.tools entries from publications
A Java command-line tool and library to download and store publications with metadata by combining content from various online resources
A tool for mapping various text input to EDAM ontology concepts
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
SpeciesFileGroup / bion2n
Forked from n8n-io/n8nBiology Node2Node (BioN2N) is an open source project to develop biodiversity informatics nodes for the n8n.io workflow automation platform
(subjective) overview of projects which are related both to python and semantic technologies (RDF, OWL, Reasoning, ...)
Omnipy is a high level Python library for type-driven data wrangling and scalable workflow orchestration (under development)
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.
A lightweight polyfill library for Promise-based WebExtension APIs in Chrome
A Python-packaged version of EDAM Ontology Data (http://edamontology.org/)
Javascript library to convert EDAM to JSON/JSON-LD
ECCB2021 tutorial: Inside the ‘Black Box’: Explainable Deep Learning Models For Image and Sequence Classification