With the development of new experimental technologies, biologists are faced with an
avalanche of data to be computationally analyzed for scientific advancements and …

Modern scientific collaborations have opened up the opportunity to solve complex problems
that require both multidisciplinary expertise and large-scale computational experiments …

Methods included: standardizing computational reuse and portability with the Common
Workflow Language Page 1 54 COMMUNICATIONS OF THE ACM | JUNE 2022 | VOL. 65 …

Correct annotation metadata is critical for reproducible and accurate RNA-seq analysis.
When files are shared publicly or among collaborators with incorrect or missing annotation …

An increasing number of researchers support reproducibility by including pointers to and
descriptions of datasets, software and methods in their publications. However, scientific …

Background Nowadays, trendy research in biomedical sciences juxtaposes the term
'precision'to medicine and public health with companion words like big data, data science …

Automation of the execution of computational tasks is at the heart of improving scientific
productivity. Over the last years, scientific workflows have been established as an important …

This special issue and our editorial celebrate 10 years of progress with data-intensive or
scientific workflows. There have been very substantial advances in the representation of …

Metabolomics is a key approach in modern functional genomics and systems biology. Due
to the complexity of metabolomics data, the variety of experimental designs, and the …

Computational workflows describe the complex multi-step methods that are used for data
collection, data preparation, analytics, predictive modelling, and simulation that lead to new …