Hi,
Thank-you for the reply. I looked at the link, that kind of gives an idea of how to pick those SNP's that have been identified already.
I am looking to do just the opposite.
Could you point me in the right direction...
Thank-you!
Amrita
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Annovar -filtering
Hi All,
I want to use ANNOVAR to run variant reduction, in order to filter out previously identified SNP's in databases such as 1000G, dbSNP, esp6500.
However I am not really sure of commands to use.
Also, is there somewhere I can go and read to figure out what other filters to use?
Could someone please help me out?
Thank-you!
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Developments in sequencing technologies and methodologies have transformed the field of epigenetics, giving researchers a better way to understand the complex world of gene regulation and heritable modifications. This article explores some of the diverse sequencing methods employed in the study of epigenetics, ranging from classic techniques to cutting-edge innovations while providing a brief overview of their processes, applications, and advances.
Methylation Detect...05-31-2023, 10:46 AM -
Differential Expression and Data Visualization: Recommended Tools for Next-Level Sequencing Analysis
After covering QC and alignment tools in the first segment and variant analysis and genome assembly in the second segment, we’re wrapping up with a discussion about tools for differential gene expression analysis and data visualization. In this article, we include recommendations from the following experts: Dr. Mark Ziemann, Senior Lecturer in Biotechnology and Bioinformatics, Deakin University; Dr. Medhat Mahmoud Postdoctoral Research Fellow at Baylor College of Medicine;...05-23-2023, 12:26 PM -
Continuing from our previous article, we share variant analysis and genome assembly tools recommended by our experts Dr. Medhat Mahmoud, Postdoctoral Research Fellow at Baylor College of Medicine, and Dr. Ming "Tommy" Tang, Director of Computational Biology at Immunitas and author of From Cell Line to Command Line.
Variant detection and analysis tools
Mahmoud classifies variant detection work into two main groups: short variants (<50...05-19-2023, 10:03 AM
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