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Applied Bioinformatics

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dc.contributor.author Hendrix, David A.
dc.creator Hendrix, David A.
dc.date.accessioned 2020-09-02T19:48:19Z
dc.date.available 2020-09-02T19:48:19Z
dc.date.issued 2019-10-03
dc.identifier 87390a2c-af18-4e7e-b3f0-8cc3827c7e96
dc.identifier.uri https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/835
dc.description.tableofcontents 1. Introduction to Biological Sequences, Biopython, and GNU/Linux
dc.description.tableofcontents 2. Sequence Motifs
dc.description.tableofcontents 3. Sequence Alignments
dc.description.tableofcontents 4. Multiple Sequence Alignments, Molecular Evolution, and Phylogenetics
dc.description.tableofcontents 5. Genomics
dc.description.tableofcontents 6. Transcriptomics
dc.description.tableofcontents 7. Noncoding RNAs
dc.description.tableofcontents 8. Proteins
dc.description.tableofcontents 9. Gene Regulation
dc.language.iso eng en_US
dc.publisher Oregon State University
dc.relation.isformatof https://open.oregonstate.education/appliedbioinformatics/
dc.relation.haspart Student Resources: Course Labs | http://hendrixlab.cgrb.oregonstate.edu/teaching/appliedBioinformatics.html
dc.rights CC BY | https://creativecommons.org/licenses/by/4.0/ en_US
dc.subject Computational biology / bioinformatics
dc.title Applied Bioinformatics en_US
dc.type Book
dc.type Learning object
dcterms.accessRights Open Access
dcterms.educationLevel University - Undergraduate
dc.identifier.slug https://openlibrary.ecampusontario.ca/catalogue/item/?id=87390a2c-af18-4e7e-b3f0-8cc3827c7e96
ecO-OER.Adopted Yes
ecO-OER.AncillaryMaterial Yes
ecO-OER.InstitutionalAffiliation Oregon State University en_US
ecO-OER.ISNI 0000 0001 2112 1969
ecO-OER.Reviewed No
ecO-OER.AccessibilityStatement Unknown
lrmi.learningResourceType Learning Resource - Textbook
lrmi.learningResourceType Educational Unit - Lab
lrmi.learningResourceType Learning Resource - Reference Material
ecO-OER.POD.compatible No
dc.description.abstract The tremendous growth of bioinformatics and computational biology in the late 20th and early 21st centuries has had an associated growth in software and algorithms for studying biological sequences. This book is designed to introduce students of the life sciences with little to no programming experience to the concepts and methodologies of bioinformatics, and contemporary software applications. The majority of this course will deal with the analysis of nucleic acid sequence data. Many of these applications have web interfaces, but where possible command line software, and strategies for dealing with sequence data with the GNU/Linux command line interface (the terminal), will be used. We won’t be content to simply run commands blindly, but rather we will also learn a great deal of the equations and theory behind these methods. In addition, these notes will provide an introduction to Biopython as a tool for bioinformatics and as a framework to connect all the concepts presented. The current edition of the book may be downloaded from the Applied Bioinformatics site: http://hendrixlab.cgrb.oregonstate.edu/teaching/appliedBioinformatics.html en_US
dc.subject.other Sciences - Biology
dc.subject.other Technology - Programming & Programs
dc.subject.other Technology - Research & Data
ecO-OER.ItemType Textbook
ecO-OER.MediaFormat eBook
ecO-OER.MediaFormat HTML/XML
ecO-OER.MediaFormat PDF


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