Machine Learning in Computational Biology

De novo RNA-seq-based Genome Annotation

author: Jonas Behr, Friedrich Miescher Laboratory
published: Jan. 12, 2011, recorded: December 2010, views: 418

Slides

Slides
0:00	De novo RNA-seq-based Genome Annotation
0:08	Deep RNA Sequencing (RNA-seq) (1)
1:44	Deep RNA Sequencing (RNA-seq) (2)
2:16	Transcript recognition (1)
2:45	Transcript recognition (2)
4:36	Transcript recognition (3)
6:12	Transcript recognition (4)
6:41	Transcript recognition (5)
6:54	RNA-seq read coverage (1)
6:55	RNA-seq read coverage (2)
7:00	RNA-seq read coverage (3)
7:16	What can we do on top of the naive solutions? (1)
7:46	What can we do on top of the naive solutions? (2)
8:38	Example (1)
9:16	Example (2)
9:48	Example (3)
10:01	Example (4)
10:24	Using HsM-SVM to learn scoring function (1)
10:54	Example (4)
10:59	Using HsM-SVM to learn scoring function (1)
11:24	Using HsM-SVM to learn scoring function (2)
12:52	Using HsM-SVM to learn scoring function (3)
13:24	Joint feature map (1)
14:14	Joint feature map (2)
14:35	Joint feature map (3)
14:57	Interpretation of the learning result (1)
16:14	Setup
17:03	Results on C. elegans (1)
17:10	Results on C. elegans (2)
17:53	Results on C. elegans (3)
18:28	Conclusion
19:30	Further information
19:42	- Questions
22:15	Infer alternative isoforms (1)
22:19	Infer alternative isoforms (2)
22:24	Infer alternative isoforms (3)
22:30	Infer alternative isoforms (4)
23:24	- Questions

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