Please use this identifier to cite or link to this item: https://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/835
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dc.contributor.authorHendrix, David A.-
dc.creatorHendrix, David A.-
dc.date.accessioned2020-09-02T19:48:19Z-
dc.date.available2020-09-02T19:48:19Z-
dc.date.issued2019-10-03-
dc.identifier87390a2c-af18-4e7e-b3f0-8cc3827c7e96-
dc.identifier.urihttps://openlibrary-repo.ecampusontario.ca/jspui/handle/123456789/835-
dc.description.tableofcontents1. Introduction to Biological Sequences, Biopython, and GNU/Linux-
dc.description.tableofcontents2. Sequence Motifs-
dc.description.tableofcontents3. Sequence Alignments-
dc.description.tableofcontents4. Multiple Sequence Alignments, Molecular Evolution, and Phylogenetics-
dc.description.tableofcontents5. Genomics-
dc.description.tableofcontents6. Transcriptomics-
dc.description.tableofcontents7. Noncoding RNAs-
dc.description.tableofcontents8. Proteins-
dc.description.tableofcontents9. Gene Regulation-
dc.language.isoengen_US
dc.publisherOregon State University-
dc.relation.isformatofhttps://open.oregonstate.education/appliedbioinformatics/-
dc.relation.haspartStudent Resources: Course Labs | http://hendrixlab.cgrb.oregonstate.edu/teaching/appliedBioinformatics.html-
dc.rightsCC BY | https://creativecommons.org/licenses/by/4.0/en_US
dc.subjectComputational biology / bioinformatics-
dc.titleApplied Bioinformaticsen_US
dc.typeBook-
dc.typeLearning object-
dcterms.accessRightsOpen Access-
dcterms.educationLevelUniversity - Undergraduate-
dc.identifier.slughttps://openlibrary.ecampusontario.ca/catalogue/item/?id=87390a2c-af18-4e7e-b3f0-8cc3827c7e96-
ecO-OER.AdoptedNo-
ecO-OER.AncillaryMaterialYes-
ecO-OER.InstitutionalAffiliationOregon State Universityen_US
ecO-OER.ISNI0000 0001 2112 1969-
ecO-OER.ReviewedNo-
ecO-OER.AccessibilityStatementUnknown-
lrmi.learningResourceTypeLearning Resource - Textbook-
lrmi.learningResourceTypeEducational Unit - Lab-
lrmi.learningResourceTypeLearning Resource - Reference Material-
ecO-OER.POD.compatibleNo-
dc.description.abstractThe 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.htmlen_US
dc.subject.otherSciences - Biology-
dc.subject.otherTechnology - Programming & Programs-
dc.subject.otherTechnology - Research & Data-
ecO-OER.ItemTypeTextbook-
ecO-OER.MediaFormateBook-
ecO-OER.MediaFormatHTML/XML-
ecO-OER.MediaFormatPDF-
Appears in Collections:Ontario OER Collection

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