Bioinformatic Methods I

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6/10 stars
based on  2 reviews
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Course Details

Cost

FREE

Upcoming Schedule

  • TBA

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
5003 reviews

Course Description

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on. Topics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. The first part, **Bioinformatic Methods I**, deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis, RNA-seq, and metagenomics. The second part, **Bioinformatic Methods I... Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on. Topics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. The first part, **Bioinformatic Methods I**, deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis, RNA-seq, and metagenomics. The second part, **Bioinformatic Methods II**, covers motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions. This pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine.
Reviews 6/10 stars
2 Reviews for Bioinformatic Methods I

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Guillermo Reales profile image
Guillermo Reales profile image
6/10 starsCompleted
  • 3 reviews
  • 3 completed
7 years, 9 months ago
To be honest, the course is not difficult at all, but it remains unclear to me what kind of people it's addressed to. While the course itself is rather simple and straightforward for someone who's familiarized with the topics covered (e.g. a biologist, myself), it deals with very specific uses of Bioinformatic tools, which are treated in a very shallow fashion in order to make them available to the general public. However, since the subject is so specific that it will be useful only for people who are into these topics, and who would expect a deeper insight into Bioinformatic tools, for sure.
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Melanie Mueller profile image
Melanie Mueller profile image
6/10 starsCompleted
  • 2 reviews
  • 2 completed
7 years, 9 months ago
Take this course if you: \- know molecular biology (necessary stuff will be briefly reviewed in class, but if you don't know it already these reviews are too short); \- want to get an overview over the most common bioinformatic methods and be able to say a couple of sentences about each; \- want to get clear instructions on which method to use when; \- are okay if you don't really understand any of the methods you're going to use (because none of the algorithms are really explained in the class); \- would like some guidance clicking around on bioinformatics websites (if you're happy exploring such websites on your own, it will be more efficient than taking this class).
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