Ns126:Calendar/NOTES/2015-7-12: Difference between revisions
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>Shicheng |
>Shicheng |
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==Materials and Method== | ==Materials and Method== | ||
Dr. Zhang update the MONOD methylation haplotype result and therefore I can check the latest result in the relationship between samples and check the distinguish ability of cancer and normals based on methylation haplotype load. | Dr. Zhang update the MONOD methylation haplotype result and therefore I can check the latest result in the relationship between samples and check the distinguish ability of cancer and normals based on methylation haplotype load. | ||
About the data processing, check: http://genome-tech.ucsd.edu/LabNotes/index.php/Kun:LabNotes/MONOD/2015-7-6 | |||
==Result== | ==Result== |
Revision as of 21:26, 13 July 2015
Materials and Method
Dr. Zhang update the MONOD methylation haplotype result and therefore I can check the latest result in the relationship between samples and check the distinguish ability of cancer and normals based on methylation haplotype load.
About the data processing, check: http://genome-tech.ucsd.edu/LabNotes/index.php/Kun:LabNotes/MONOD/2015-7-6
Result
Relationship between samples in the propestive of hierarchical clustering based on MHL
- WGBS.Phase2.Cluster.Revised.3.jpeg
Figure 1A. Hierarchical clustering based on WGBS revealed the relationships between hESC, N37 normals, Salk normals and cancers
- consider: batch differences in read depth, read length or other artifacts.
- RRBS.PhaseI.Cluster.Revise.jpeg
Figure 1B. Hierarchical clustering based on RRBS revealed the relationships between Plasma, Nomal and Cancer tissues.
- SeqCap.Phase2.Cluster.Revised.jpeg
Figure 1C.Hierarchical clustering based on SeqCap revealed the relationships between Plasma, Nomal and Cancer tissues.