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34. C260A Lecture 7: SNP detection advanced scoring model
by Christopher Lee
1 month ago
33. C260A-09 Lecture 6: SNP detection
by Christopher Lee
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32. C260A Lecture 5: Probabilistic Modeling, continued
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31. C260A Lecture 4: Probabilistic Modeling
by Christopher Lee
2 months ago
30. C260A Lecture 3: A Recipe for Inference
by Christopher Lee
2 months ago
29. Information Metrics for Statistical Inference
by Christopher Lee
2 months ago
28. Accessing genome alignments using Worldbase and Pygr
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2 months ago
27. C260A-09 Lecture 2: intro to Bayesian inference
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26. The UCLA Center for High Throughput Biology
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25. Why High-Throughput Sequencing is Changing Almost …
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24. High Throughput Tools for Deep Sequencing Analysis…
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23. Measuring biological functions using comparative genomics
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22. Exploring the future of bioinformatics data sharin…
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21. Foundations of Bioinformatics Education
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20. Massive Expansion of Dscam Splicing Diversity via …
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19. Chem 260A: Intro to Bioinformatics welcome lecture
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18. Peregrine Falcon at Salton Sea
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17. Osprey Sees Whale
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16. Consensus eigengene networks: studying gene co‐exp…
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15. Liquid Association: a new bioinformatics tool for …
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7 months ago
14. Study of human skin microbiome using high-throughp…
by Christopher Lee
7 months ago
13. The phenotype revolution: a new data-driven collab…
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7 months ago
12. Extracting sequence features to predict protein-DN…
by Christopher Lee
7 months ago
11. Analyzing genomes using omics technology
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7 months ago
10. Elucidating the complexity of cancer networks
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9. Global analysis of epigenome in human embryonic stem cells
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8. High-throughput phenotyping and the discovery of n…
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A plea for emphasizing statistical inference in undergraduate bioinformatics education. Presented at the RECOMB-BE 2009 conference, San Diego CA, March 2009

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