A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

PepFun is a compilation of bioinformatics and chemoinformatics functionalities that are easy to implement and personalize for studying peptides at different levels: sequence, structure and large ...

We start with the fully processed molecular phenotype matrix. In this tutorial, we use the fully processed gene expression matrix for Colon - Transverse from GTEx V8 (2020) as an example. In GTEx’s ...

Parents who balance careers with family. International students who’ve come to New York City for the first time. Men and women who inspire others and are inspired by the work they do. They are all ...

You have full access to this article via your institution. Identifying metabolites present in unfractionated biological samples is a fundamentally different task from the process of identifying novel ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

This course provides an overview of a range of resources and practical bioinformatic tools that are used in molecular biology. Scientists actively developing and applying bioinformatic tools in their ...

Today's methods in molecular biology produce large datasets that require specialised computational tools to be analysed. These make it possible to tackle questions in the biosciences that were ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Speyerer Strasse 6, 69115 Heidelberg, Germany, FOM-AMOLF, ...