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Craig, Paul A.; Nash, Jessica A.; Crawford, T. Daniel – Biochemistry and Molecular Biology Education, 2022
A programming workshop has been developed for biochemists and molecular biologists to introduce them to the power and flexibility of solving problems with Python. The workshop is designed to move users beyond a "plug-and-play" approach that is based on spreadsheets and web applications in their teaching and research to writing scripts to…
Descriptors: Programming Languages, Biochemistry, Molecular Biology, Data Analysis
Allbee, Quinn; Barber, Robert – Biochemistry and Molecular Biology Education, 2021
Biology is a data-driven discipline facilitated greatly by computer programming skills. This article describes an introductory experiential programming activity that can be integrated into distance learning environments. Students are asked to develop their own Python programs to identify the nature of alleles linked to disease. This activity…
Descriptors: Genetics, Science Instruction, Programming Languages, Biology
Mariano, Diego; Martins, Pedro; Helene Santos, Lucianna; de Melo-?Minardi, Raquel Cardoso – Biochemistry and Molecular Biology Education, 2019
The advent of the high-throughput next-generation sequencing produced a large number of biological data. Knowledge discovery from the huge amount of available biological data requires researchers to develop solid skills in biology and computer science. As the majority of the Bioinformatics professionals are either computer science or life sciences…
Descriptors: Computer Literacy, Computer Science Education, Programming, Biological Sciences
Herraez, Angel – Biochemistry and Molecular Biology Education, 2006
Jmol is free, open source software for interactive molecular visualization. Since it is written in the Java[TM] programming language, it is compatible with all major operating systems and, in the applet form, with most modern web browsers. This article summarizes Jmol development and features that make it a valid and promising replacement for…
Descriptors: Programming, Biochemistry, Programming Languages, Physical Sciences