Tutorials are ever-present in the world today, and for good reason. Why struggle through a complicated process yourself, when there is already a guide established to assist? While no one would suggest that a tutorial is the only way to complete a project, it is certainly a nice starting point.
This rings true with genetic software as well. There are many ways to analyze DNA-Seq and SNP data, but a starting point is helpful. With that in mind, Golden Helix has curated tutorials to help researchers with their analysis, on levels varying from beginner to advanced.
Below are the top 3 most viewed tutorials from Golden Helix:
This tutorial is designed to systematically introduce you to a number of techniques for analyzing your RNA-Seq or other high throughput sequencing data output within SVS. It is not meant to replicate all the workflows you might use in a complete analysis, but instead touch on a sampling of the more typical scenarios you may come across in your own studies.
This tutorial leads you through various LD and haplotype analyses in SVS 8. For demonstration purposes, a simulated dataset is used consisting of actual Affymetrix 500K genotypes from the four HapMap populations (Phase II) mapped to the hg19 Human reference build GRCh_37, simulated case/control status and simulated quantitative phenotype.
This tutorial is designed to systematically introduce you to a number of techniques for genome-wide association studies. It is not meant to replicate all the workflows you might use in a complete analysis, but instead touch on a sampling of the more typical scenarios you may come across in your own studies.
The genotype data included is a portion of a public GWAS dataset from the Gene Expression Omnibus database, as well as 270 HapMap samples. There is a population spreadsheet that identifies the HapMap subpopulation and the study data. Both studies were run on the Affymetrix 500K genotyping array. All phenotype data is simulated.
Is there a tutorial you’d love that we don’t have available? Let us know at GoldenHelix.com! We are always looking for ways to expand our knowledge base and help the genetic community!