Difference between revisions of "UNIST Bioinformatics course syllabus"
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− | + | <div style="text-align: center; line-height: 160%; word-break: keep-all"><strong><span style="color:black; font-size:14pt">Syllabus 2019</span></strong></div> | |
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+ | <td colspan="3" style="background-color: transparent; width: 255pt; height: 18.75pt"> | ||
+ | <div style="line-height: 160%; word-break: keep-all"><strong><span style="color:black">Course Information Bioinformatics</span></strong></div> | ||
+ | </td> | ||
+ | <td colspan="4" style="background-color: transparent; width: 250.5pt; height: 18.75pt"> | ||
+ | <p><strong><span style="color:black">Instructor Information [[Dugwoo Nam]] & [[Jong Bhak]]</span></strong> | ||
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− | <div style="line-height: 160%; | + | <div style="line-height: 160%; word-break: keep-all"> </div> |
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− | <p> | + | <div style="line-height: 160%; word-break: keep-all"><span style="color:black; font-size:12pt">Weekly Schedule</span></div> |
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− | + | <div style="text-align: center; line-height: 160%; word-break: keep-all"><span style="color:black">Week</span></div> | |
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− | + | <div style="text-align: center; line-height: 160%; word-break: keep-all"><span style="color:black">Contents</span></div> | |
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− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">01</span></div> | |
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− | + | <td style="background-color: transparent; width: 462pt; height: 35.65pt"> | |
− | + | <p style="text-align: left">Introduction to Bioinformatics, Introduction to Microarray, RNA-seq</p> | |
− | + | </td> | |
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− | + | <td style="background-color: transparent; width: 42.75pt; height: 35.65pt"> | |
− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">02</span></div> | |
− | + | </td> | |
− | + | <td style="background-color: transparent; width: 462pt; height: 35.65pt"> | |
− | + | <p>Microarray & gene data analysis I: Normalization, Identification of DEGs (R language), Gene list analysis with DAVID and STRING(web)</p> | |
− | + | </td> | |
− | + | </tr> | |
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− | + | <td style="background-color: transparent; width: 42.75pt; height: 35.65pt"> | |
− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">03</span></div> | |
− | + | </td> | |
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− | + | <p>Microarray & gene data analysis II: Clustering, (R, cluster, treeview), Dimension Reduction (PCA), survival analysis</p> | |
− | + | </td> | |
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− | + | <td style="background-color: transparent; width: 42.75pt; height: 35.65pt"> | |
− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">04</span></div> | |
− | + | </td> | |
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− | + | <div style="line-height: 115%">Test 1</div> | |
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− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">05</span></div> | |
− | + | </td> | |
− | + | <td style="background-color: transparent; width: 462pt; height: 35.65pt"> | |
− | + | <p style="text-align: left">Gene-set and pathway analysis with GSEA, Introduction to classification analysis (SVM)</p> | |
− | + | </td> | |
− | + | </tr> | |
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− | + | <td style="background-color: transparent; width: 42.75pt; height: 35.65pt"> | |
− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">06</span></div> | |
− | + | </td> | |
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− | + | <div style="line-height: 115%">RNA-seq, ChIP-seq data analysis</div> | |
− | + | </td> | |
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− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">07</span></div> | |
− | + | </td> | |
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− | + | <p style="text-align: left">Introduction to NCBI databases: data and literature search</p> | |
− | + | </td> | |
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− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">08</span></div> | |
− | + | </td> | |
− | + | <td style="background-color: transparent; width: 462pt; height: 35.65pt"> | |
− | + | <div style="text-align: left; word-break: keep-all"><span style="color:black">Test 2</span></div> | |
− | + | </td> | |
− | + | </tr> | |
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− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">09</span></div> | |
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− | + | <td style="background-color: transparent; width: 462pt; height: 35.65pt"> | |
− | + | <div style="text-align: left; word-break: keep-all"><span style="color:black"> [[Principles of Bioinformatics]]</span></div> | |
− | + | </td> | |
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− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">10</span></div> | |
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− | + | <div style="text-align: left; word-break: keep-all"><span style="color:black"> [[Bioprogramming]]</span></div> | |
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− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">11</span></div> | |
− | + | </td> | |
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− | + | <div style="text-align: left; word-break: keep-all"><span style="color:black"> [[Genomics]]</span></div> | |
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− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">12</span></div> | |
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− | + | <div style="text-align: left; word-break: keep-all"><span style="color:black"> [[Transcriptomics]]</span></div> | |
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− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">13</span></div> | |
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− | + | <div style="text-align: left; word-break: keep-all"><span style="color:black"> [[Proteomics]]</span></div> | |
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− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">14</span></div> | |
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− | + | <div style="text-align: left; word-break: keep-all"><span style="color:black"> [[Epigenomics]]</span></div> | |
− | + | </td> | |
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− | + | <div style="text-align: center; word-break: keep-all"><span style="color:black">15</span></div> | |
− | + | </td> | |
− | + | <td style="background-color: transparent; width: 462pt; height: 35.65pt"> | |
− | + | <div style="text-align: left; word-break: keep-all"><span style="color:black"> [[Canceromics and Geromics]]</span></div> | |
+ | </td> | ||
+ | </tr> | ||
+ | </tbody> | ||
</table> | </table> | ||
− | </p> | + | |
− | < | + | <div> </div> |
+ | |||
+ | <hr /> | ||
+ | <p>[[UNIST Bioinformatics course]] [http://bioinformatics.ws Bioinformatics.ws]</p> | ||
+ | |||
+ | <p> </p> | ||
+ | |||
+ | <p> </p> |
Latest revision as of 21:01, 22 January 2019
Syllabus 2019
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Course Information Bioinformatics
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Instructor Information Dugwoo Nam & Jong Bhak |
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Course Code |
BIO43101
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Instructor
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Course Title |
Bioinformatics
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Office
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Room 301-8, Bldg 110 |
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Year/Semester
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2019/1st
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Telephone
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010 4644 6754 (JB)
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School
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SLS
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E-mail
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jongbhak@gmail.com (JB)
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Course Classification |
TE-BIO/TE-BME/TE-BMS
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Office Hours |
Any time
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Classroom/Class Time |
FRI 13:00-15:30 (NSB S205)
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Grading Type |
Letter grade
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Course Objectives & Description
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Bioinformatics course contains introductory information in how to process biological data using computers. During the class, students will learn the concepts by short lectures and hands-on experiences. So, please bring a laptop computer to the class from the second week. The second part of the course taught by Jong Bhak will focus on: 1) What Bioinformatics is 2) How to independently read research papers 3) How to critically analyze research papers and topics 4) How to choose a research topic in bioinformatics and design an experiment and perform research 5) How to write research report(paper) to make the results known to the public. 6) The course will be done through active action-oriented learning method(AAO) 7) Students are required to motivate themselves and bring their research topics after reading research papers. |
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Grading
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Science paper writing on bioinformatics topics. | ||||||
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Text
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Category
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Book and PPT files, on-line links |
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Title
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Bioinformatics
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Author
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Jong Bhak
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ISBN
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Remarks
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Course Reserves Designation |
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References
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Category
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Book, on-line links
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Title
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Bioinformatics
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Author
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Jong Bhak
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ISBN
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Remarks
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Course Reserves Designation |
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Week
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Contents
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01
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Introduction to Bioinformatics, Introduction to Microarray, RNA-seq |
02
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Microarray & gene data analysis I: Normalization, Identification of DEGs (R language), Gene list analysis with DAVID and STRING(web) |
03
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Microarray & gene data analysis II: Clustering, (R, cluster, treeview), Dimension Reduction (PCA), survival analysis |
04
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Test 1
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05
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Gene-set and pathway analysis with GSEA, Introduction to classification analysis (SVM) |
06
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RNA-seq, ChIP-seq data analysis
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07
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Introduction to NCBI databases: data and literature search |
08
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Test 2
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09
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10
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11
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12
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13
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14
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15
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UNIST Bioinformatics course Bioinformatics.ws