In today’s rapidly evolving world, technological advancements are dramatically reshaping industries and career landscapes.

Data management and analysis is increasingly important as the speed of genome sequencing increases and costs reduce. Kalina Cetnar outlines the issues bioinformaticians face and ways to address them.

This study draws conclusions based on bioinformatics analysis and experiment validation with some limitations: gene-expression datasets which are publicly available, may have inherent biases (sample ...

Transform Excel with Python integration: automate tasks, analyze data, and uncover insights for smarter decisions. This ...

Template strings, deferred annotations, better error messages, and a new debugger interface are among the goodies in Python 3 ...

"Great work by the @DeptVetAffairs cancelling an unreasonably priced multi-year $15.3M services contract for ‘salary survey data and analysis," a DOGE post on X states. The contract cost the ...

More than a hundred experts in molecular simulation have published a paper in the journal Nature Methods calling for a paradigm shift in molecular dynamics data management.

We address common misconceptions about capital flow data and discuss differences between high-frequency proxies for portfolio flows. In a nowcasting “horse race” we show that high-frequency proxies ...