The FAIR Guiding Principles, published in 2016, aim to improve the findability, accessibility,
interoperability and reusability of digital research objects for both humans and machines …

Bioinformaticians and biologists rely increasingly upon workflows for the flexible utilization of
the many life science tools that are needed to optimally convert data into knowledge. We …

Text mining (TM) is a semi-automatized, multi-step process, able to turn unstructured into
structured data. TM relevance has increased upon machine learning (ML) and deep …

Automated workflow composition is bound to take the work with scientific workflows to the
next level. On top of today's comprehensive eScience infrastructure, it enables the …

The bio. tools registry is a main catalogue of computational tools in the life sciences. More
than 17 000 tools have been registered by the international bioinformatics community. The …

Background Life scientists routinely face massive and heterogeneous data analysis tasks
and must find and access the most suitable databases or software in a jungle of web …

A major obstacle for reusing and integrating existing data is finding the data that is most
relevant in a given context. The primary metadata resource is the scientific literature …

Scientific data analyses often combine several computational tools in automated pipelines,
or workflows. Thousands of such workflows have been used in the life sciences, though their …

Despite recent encouragement to follow the FAIR principles, the day-to-day research
practices have not changed substantially. Due to new developments and the increasing …

The large diversity of experimental methods in proteomics as well as their increasing usage
across biological and clinical research has led to the development of hundreds if not …