Difference between revisions of "Bioinformatics homework"
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| − | <p><span style="font-size:20px"><strong>Jong Bhak's Bioinformatics homework</strong></span></p> | + | <p><span style="font-size:20px"><strong>Jong Bhak's Bioinformatics homework </strong></span><span style="font-size:18px"><strong>(for any bioinforamtics students)</strong></span></p> |
| − | <p><span style="font-size:16px"><strong>1. Learn Perl programming language</strong></span></p> | + | <p><span style="font-size:16px"><strong>1. Learn [[Perl]] programming language</strong></span></p> |
<p><span style="font-size:16px"><strong>2. Watch the following YouTube lectures;</strong></span></p> | <p><span style="font-size:16px"><strong>2. Watch the following YouTube lectures;</strong></span></p> | ||
Revision as of 17:29, 9 February 2016
Jong Bhak's Bioinformatics homework (for any bioinforamtics students)
1. Learn Perl programming language
2. Watch the following YouTube lectures;
MIT 생정보연구자들의 시리즈
Chris Burge's local alignment lecture from MIT
Burge's alignment lecture from MIT
David Gifford MIT Library Complexity and Short Read Alignment
Chip-seq analyses + DNA protein interaction from MIT
RNA-seq analyses by MIT David Gifford
Modelling and discovery of sequence motifs by MIT
Markov and Hidden Markov models for genome and protein sequence features
RNA-sequence secondary structures by MIT
Intro to protein structure and comparisons
Predicting protein structure from MIT
Predicting protein-protein interactions
Gene regulartory networks by MIT
Protein interaction networks by MIT
Logic modeling of cell signalling networks by MIT
Analysis of chromatic structure by MIT
Discoverying quantitative trait loci by MIT
Human genetics SNPs, GWAS by MIT
Causality, Natural language and genome engineering
George Church's future of genomics and synthetic biology
Genome Engineering by Jennifer Doudnaby UC Berkeley 제니퍼 다우드나의 강의
