PrincyJohnson

Basic-webpage-using-HTML-CSS-nad-JS

Biostatistical-informatics-Assignment-

There will be two assignments available in this section.

Database-project

EffectivePopSize

This Package helps to estimate effective population size (Ne) in crops using linkage disequilibrium dataset

PrincyJohnson

Config files for my GitHub profile.

PRS-calculation_LDpred2-

This codes will help to calculate PRS score using the online available datasets

PRS-Tutorial

A tutorial on how to run basic polygenic risk score analysis

Python3for_beginners2021-

R-Assignment-MSc-

This is R shiny coding file for an assignment which was given in my Master's course. I am uploading this for the current students in UK or anywhere studying Bioinformatics. This will be helpful.

ScRNA-seq---PBMC

Single-cell RNA sequencing using PBMC online dataset.

PrincyJohnson/PRS-calculation_LDpred2-

This codes will help to calculate PRS score using the online available datasets

PrincyJohnson/Basic-webpage-using-HTML-CSS-nad-JS

PrincyJohnson/Biostatistical-informatics-Assignment-

There will be two assignments available in this section.

PrincyJohnson/Database-project

PrincyJohnson/EffectivePopSize

This Package helps to estimate effective population size (Ne) in crops using linkage disequilibrium dataset

PrincyJohnson/PrincyJohnson

Config files for my GitHub profile.

PrincyJohnson/PRS-Tutorial

A tutorial on how to run basic polygenic risk score analysis

PrincyJohnson/Python3for_beginners2021-

PrincyJohnson/R-Assignment-MSc-

This is R shiny coding file for an assignment which was given in my Master's course. I am uploading this for the current students in UK or anywhere studying Bioinformatics. This will be helpful.

PrincyJohnson/ScRNA-seq---PBMC

Single-cell RNA sequencing using PBMC online dataset.

PrincyJohnson/Single-cell-RNA-sequencing

Objectives are to:  Optimise the scRNA-seq data approach using Seurat by investigating the effects of QC and background correction for healthy and a diabetic dataset of the mouse retina.  Perform differential gene expression.  Perform clustering of the different retinal cell types from the scRNA-Seq data by assessing a range of publicly available algorithms.  Identify the cell-types for both control and diabetic retinal dataset.  Try to install different deconvolution packages that suits the project.  Use them to identify cell-type proportions from bulk data guided by the scRNAseq data  Compare the results to identify the best proportions and the most affected cell-types.

PrincyJohnson/EffectivePopulationSize

PrincyJohnson/GWAS

PrincyJohnson/RNA-Seq