Introduction to programming for Bioinformatics with Python
2.5
Udemy7,800 learners
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This course is perfect for those interested in learning the fundamentals of bioinformatics and creating their very first computer programme. With the help of Python, a powerful programming language, you will be able to modify DNA and protein sequences and use the Python Biopython Library to create scripts. Take this course to gain the skills and knowledge to become a successful bioinformatician.
DNA Hacking with Swift 4 Xcode 9
4.1
Udemy4,284 learners
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This course, DNA Hacking with Swift 4 Xcode 9: An Introduction to Bioinformatics, is perfect for those looking to learn the basics of DNA and bioinformatics. Students will learn how to preprocess and save datasets from the National Center for Biotechnology Information (NCBI), as well as how to build and save custom code snippets and Swift "biocollections" for current and future bioinformatics projects. Additionally, they will learn BioSwift, a set of custom code snippet collections used for biological computation written in pure Swift. With this course, students will gain the skills to research Statistics, Datasets, Genomes, Neucleotides, Chromosomes, mRNA, and DNA sequences.
DNA Research using Biopython
3.9
Udemy3,505 learners
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This course, DNA Research using Biopython, An Introduction To Bioinformatics, is perfect for Hybrid Developers who want to use their existing OOPL development skills to work with DNA and python code. Learn how to use biopython and its libraries to research StatisticsDatasetsGenomesNeucleotidesChromosomesmRNA DNA sequences. Take this course and find out if you can be the one to discover the next big cure!
Conducting Introductory Computational Biology Research
4.1
Udemy5,266 learners
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This course will teach you the fundamentals of Computational Biology and how to create an introductory research project. Learn how to use valuable tutorials and lectures to become comfortable in the field of Computational Biology for free. With basic biology knowledge, you will be guided through the philosophy of precision medicine, selecting a disease of focus, and using tools such as GEO2R, String-db, Gene Ontology and KEGG Pathways to develop research conclusions. By the end of the course, you will have the knowledge and skills to investigate a disease from a computational biology point of view and form a research project.
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