Bioinformatics meets virology: The European virus bioinformatics center’s second annual meeting
Overview of virus metagenomic classification methods and their biological applications
MØDSCØ, a computer programm for the revised method of scoring
The effect of truncation in statistical computation
Modeling the circular economy in environmentally extended input-output tables: Methods, software and case study
Interaction protocols in paradigm : extensions to a modeling language through tool development
Software to support expert elicitation : An exploratory study of existing software packages
MUSCLEMOTION: A Versatile Open Software Tool to Quantify Cardiomyocyte and Cardiac Muscle Contraction In Vitro and In Vivo
Dutch Environmental Indicator for Plant Protection Products - Description of input data and calculation methods
ETX 2.0. A Program to Calculate Hazardous Concentrations and Fraction Affected, Based on Normally Distributed Toxicity Data
Validating SimpleBox-Computed Steady-State Concentration Ratios
Reference Guide Microsoft.NET
Base-By-Base Version 3: New Comparative Tools for Large Virus Genomes
Electronic Environments for Reading: An Annotated Bibliography of Pertinent Hardware and Software (2011)
Improving social relations between developers by leveraging the concept of socio-technical congruence
Improving the robustness of the ATLAS calorimeter software trigger
BrainScope: interactive visual exploration of the spatial and temporal human brain transcriptome
GPU-powered model analysis with PySB/cupSODA
Graphics processing units in bioinformatics, computational biology and systems biology
scikit-image : image processing in Python
Exhaustively characterizing feasible logic models of a signaling network using Answer Set Programming
Integrating literature-constrained and data-driven inference of signalling networks
FDSTools: A software package for analysis of massively parallel sequencing data with the ability to recognise and correct STR stutter and other PCR or sequencing noise
Whole-body voxel-based internal dosimetry using deep learning