activity
20242026
most citedTen simple rules for collaborating with wet lab researchers for computational researchers

4 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.GN2026

Ten simple rules for non-visual, reproducible and accessible bioinformatics

Jacqueline G. Kientsch, Stephan C. F. Neuhauss, Izaskun Mallona

Bioinformatics workflows rely heavily on visual representations. Quality-control plots, cell embeddings, heatmaps, genome-browser tracks, and interactive dashboards are not merely…

cs.PF2025

denet, A lightweight command-line tool for process monitoring in benchmarking and beyond

Ben Carrillo, Izaskun Mallona

Summary: denet is a lightweight process monitoring tool providing real-time resource profiling of running processes. It reports CPU, memory, disk I/O, network activity, and thread…

q-bio.QM2024

Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta

Martin Emons, Samuel Gunz, Helena L. Crowell +3

Spatial omics assays allow for the molecular characterisation of cells in their spatial context. Notably, the two main technological streams, imaging-based and high-throughput sequ…

q-bio.OT2024★ 2 cited

Omnibenchmark: transparent, reproducible, extensible and standardized orchestration of solo and collaborative benchmarks

Izaskun Mallona, Almut Luetge, Ben Carrillo +6

Benchmarking involves designing, running and disseminating rigorous performance assessments of methods, most often for data analysis and software tools, but the process can also be…

q-bio.OT2024★ 1 cited

Building a continuous benchmarking ecosystem in bioinformatics

Izaskun Mallona, Charlotte Soneson, Ben Carrillo +5

Benchmarking, which involves collecting reference datasets and demonstrating method performances, is a requirement for the development of new computational tools, but also becomes…

q-bio.OT2024★ 4 cited

Ten simple rules for collaborating with wet lab researchers for computational researchers

Mark D. Robinson, Peiying Cai, Martin Emons +10

Computational biologists are frequently engaged in collaborative data analysis with wet lab researchers. These interdisciplinary projects, as necessary as they are to the scientifi…