Abstract: In the post-genomic era, every biologist is faced with the task of analyzing, interpreting and visualizing complex and huge data. An increasing number of scientists have begun writing small programs using script-based languages, such as Python. This course is designed to train students and scientists without previous experience in programming who want -- or need -- to write their own bioinformatics software tools. The aim of this training course is to provide an introduction to the Python programming language by solving everyday tasks of Bioinformatics. Each folder contains a short introduction video and a PDF file about the topic, assignments covering the topic (provided as Jupyter notebooks) as well as the solutions (provided as Python files). Please first read the content of the file "readme.pdf" and follow the course plan according to the content of the file "course_plan.pdf". Please cite the authors for all course material if you use them in your work.
License: CC BY 4.0 (Creative Commons Attribution)
DOI: 10.5447/ipk/2022/17
Content: 10 Directories 45 Files (2 MB)
CONTRIBUTOR: | |
CREATOR: |
Stefanie Lueck
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PUBLISHER: | e!DAL - Plant Genomics and Phenomics Research Data Repository (PGP), IPK Gatersleben, Seeland OT Gatersleben, Corrensstraße 3, 06466, Germany |
SIZE: | 68 B |
SUBJECT: | Python, de.NBI, training course |