As researchers are increasingly able to collect data on a large scale from multiple clinical
and omics modalities, multi-omics integration is becoming a critical component of …

Research software is a fundamental and vital part of research, yet significant challenges to
discoverability, productivity, quality, reproducibility, and sustainability exist. Improving the …

Trajectory inference approaches analyze genome-wide omics data from thousands of single
cells and computationally infer the order of these cells along developmental trajectories …

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 …

Abstract Interpretation of Big Data in the drug discovery community should enhance project
timelines and reduce clinical attrition through improved early decision making. The issues …

This article presents a study on the quality and execution of research code from publicly-
available replication datasets at the Harvard Dataverse repository. Research code is …

Automated experiments can accelerate research and development.'Flexible
automation'enables the cost-and time-effective design, construction and reconfiguration of …

Galaxy HiCExplorer is a web server that facilitates the study of the 3D conformation of
chromatin by allowing Hi-C data processing, analysis and visualization. With the Galaxy …

We develop a new large-scale hydrological and water resources model, the Community
Water Model (CWatM), which can simulate hydrology both globally and regionally at …

BornAgain is a free and open-source multi-platform software framework for simulating and
fitting X-ray and neutron reflectometry, off-specular scattering, and grazing-incidence small …