• Bioinformatics tools, DNA and protein sequences • Retrieving DNA and protein sequences from repositories • Databases for protein annotation • Inferring function from sequence Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more The course will be of interest to undergraduates, post-graduates, researchers, bioinformaticians, biomedical researchers, microbiologists, healthcare professionals and all those who are interested in learning about the underlying mechanisms of bacterial disease, DNA sequences and protein data, or how to use online analytical tools to probe genomes. The topics covered in this course are applicable to the genomes of all organisms. It is not essential to have previous knowledge or experience in bioinformatics. Scientific terminology is explained. The opportunity to use online computational tools in the context of bacterial genomes will also be of interest to teachers and their 16-18-year-old science and computing students. You can use the hashtag #FLsequence2function to talk about this course on social media.
• Bioinformatics tools, DNA and protein sequences • Retrieving DNA and protein sequences from repositories • Databases for protein annotation • Inferring function from sequence Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more The course will be of interest to undergraduates, post-graduates, researchers, bioinformaticians, biomedical researchers, microbiologists, healthcare professionals and all those who are interested in learning about the underlying mechanisms of bacterial disease, DNA sequences and protein data, or how to use online analytical tools to probe genomes. The topics covered in this course are applicable to the genomes of all organisms. It is not essential to have previous knowledge or experience in bioinformatics. Scientific terminology is explained. The opportunity to use online computational tools in the context of bacterial genomes will also be of interest to teachers and their 16-18-year-old science and computing students. You can use the hashtag #FLsequence2function to talk about this course on social media.
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