Difference between revisions of "Bioinformatics homework"
imported>S |
imported>S |
||
| Line 17: | Line 17: | ||
<p> [https://www.youtube.com/watch?v=Ob9xGBPvr_s Chip-seq analyses + DNA protein interaction from MIT]</p> | <p> [https://www.youtube.com/watch?v=Ob9xGBPvr_s Chip-seq analyses + DNA protein interaction from MIT]</p> | ||
| − | <p> [</p> | + | <p> [https://www.youtube.com/watch?v=MniYgsZSp30 RNA-seq analyses by MIT David Gifford]</p> |
| + | |||
| + | <p> [https://www.youtube.com/watch?v=1EMonM7qAU8 Modelling and discovery of sequence motifs by MIT]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=d5NMrA2HkG4 Markov and Hidden Markov models for genome and protein sequence features]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=kUN6rJ21Hno RNA-sequence secondary structures by MIT]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=6ROBp57G2ZI Intro to protein structure and comparisons]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=j1s9JfZKFqU Predicting protein structure from MIT]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=C95294_vvQY Predicting protein-protein interactions]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=So6MK_FcP4E Gene regulartory networks by MIT]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=RBPcKbEvK3U Protein interaction networks by MIT]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=i59JDQ9hk10 Logic modeling of cell signalling networks by MIT]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=iKLvCuFD1MA Analysis of chromatic structure by MIT]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=kx_Hks_-SZM Discoverying quantitative trait loci by MIT]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=KYQ2dPW5nEU Human genetics SNPs, GWAS by MIT]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=kKyrR0cFrEg Synthetic biology by MIT]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=uD4-fOWeXAY Causality, Natural language and genome engineering]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=0E0a5ZaE6Gk George Church's future of genomics and synthetic biology]</p> | ||
| + | |||
| + | <p> [https://www.youtube.com/watch?v=SuAxDVBt7kQ Genome Engineering by Jennifer Doudnaby UC Berkeley]</p> | ||
| + | |||
| + | <p> </p> | ||
Revision as of 16:51, 9 February 2016
Jong Bhak's Bioinformatics homework
1. Learn Perl programming language
2. Watch the following YouTube lectures;
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
