Introduction to bioinformatics
Description
I will start by giving a general introduction into Bioinformatics, including basic biology, typical data types (sequences, structures, expression data and networks) and established analysis tasks. In the second part, I will discuss the problem of predictive sequence analysis with Support Vector Machines (SVMs). I will introduce a series of kernels suitable for different analysis tasks. Furthermore I will discuss the basic data structures needed for large scale learning and how to combine kernels for heterogeneous data. In the third part, I will focus on Hidden Markov models and discriminative alternatives like Conditional Random Fields and Hidden Markov SVMs suitable for segmentation tasks frequently appearing in Bioinformatics. In the last part I will present three applications in greater detail: A large margin alignment algorithm, computational gene finding and the identification of polymorphisms from resequencing arrays.
| Slides | |
| 0:00 | Machine Learning in Bioinformatics |
| 0:55 | Overview |
| 2:22 | Part I: Introduction to Bioinformatics |
| 2:41 | What is Bioinformatics? - Page 1 |
| 3:28 | What is Bioinformatics? - Page 2 |
| 4:23 | The Subject of Bioinformatics |
| 4:41 | The Three Kingdoms of Life |
| 5:12 | Basic Unit of Life: the Cell |
| 5:45 | Biology of the Cell |
| 6:37 | Short History of Genomics |
| 7:59 | Discovery of the Nuclein (Friedrich Miescher, 1869) |
| 9:24 | Structure of DNA |
| 9:33 | DNA Double Helix - Page 1 |
| 10:26 | DNA Double Helix - Page 2 |
| 10:31 | Chromosomes and DNA |
| 11:17 | Central Dogma |
| 13:12 | The Genome Encodes Genes |
| 14:41 | Protein Sequence |
| 15:03 | Levels of Protein Structure |
| 15:48 | Proteins Have Complex Shapes |
| 16:14 | Functions of Proteins - Page 1 |
| 17:05 | Functions of Proteins - Page 2 |
| 17:21 | Functions of Proteins - Page 3 |
| 17:30 | Functions of Proteins - Page 4 |
| 18:33 | Most Popular Types of Measurement Data |
| 18:40 | - Functions of Proteins - Page 4 - Part 2 |
| 19:00 | - Central Dogma - Part 2 |
| 19:29 | - The Genome Encodes Genes - Part 2 |
| 20:24 | - Central Dogma - Part 3 |
| 21:12 | - Most Popular Types of Measurement Data - Part 2 |
| 22:32 | DNA Sequences |
| 24:25 | Population Data - Page 1 |
| 25:56 | Population Data - Page 2 |
| 29:07 | Gene Expression |
| 31:37 | Expression (of Proteins, Metabolites) |
| 33:09 | 3D-Structures (of Proteins) |
| 33:51 | Interactions |
| 34:30 | Further Available Data Types . . . |
| 35:05 | Why Analyze These Data? |
| 36:40 | Lots of Different, Specialized Problems |
| 37:04 | Find Structure in DNA |
| 38:27 | Predict Protein Properties |
| 39:54 | Relate Molecular to Macroscopic Data |
| 41:14 | History of Bioinformatics |
| 42:48 | Bioinformatics |
| 43:07 | Challenges for Machine Learning |
| 45:28 | Resources |
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I hope Part 1 is uploaded soon
Great, but the audio could have been better
I can download part 1 but I cannot download any other part:
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I really need to watch these video lectures but my internet connection in Tanzania has a very low speed. I can't even watch 1 minute online.
I need your help. Need to download these video lectures so as I can be able to watch them and revise.
Will help me a lot to integrate my basic science with bioiformatics
MSc Medical Parasitology and Entomology student
my email address is mweyaclement@gmail.com