MCMC II: Applying MCMC in somatic variant calling
In PREVIOUS ARTICLE, we introduced theoretical basis of MCMC, its components and how it approximates the posterior distribution of...
DNA Ghost:
This note based blog covers bioinformatics and cancer genomics
MCMC: Monte Carlo sampling and Markov Chain
In PREVIOUS ARTICLE, we mentioned that Bayesian approach is being used for somatic variant detection. We will pick up this topic from...
Probability distribution in NGS data analysis
In previous POST, we discussed some basics of probability distribution and corresponding hypothesis testing. Here let's continue this...
Calling somatic variants without matched normal
Identifying somatic mutation has always been challenging. Tumor heterogeneity The major challenge of calling somatic mutation is...
From variant calling approach: Frequentist vs Bayesian
Frequentist's approach: Assume sequencing error distribution. Frequentist's method makes the null hypothesis that non-reference allele is...
