Sivakumar Krishnamoorthy's Projects
This file will give you an overall idea to choose appropriate statistical test
List of IARC bioinformatics nextflow pipelines
Google Colab Tutorials for IBM3202
ImageColorAnalysis is a repository with a Python script for color analysis in images using ImageMagick. It generates bash scripts for individual JPG images to analyze specific colors. It provides a flexible solution for extracting color information from images, applicable in various domains such as image classification and data analysis.
Scripts accompanying Tseng E, Rowell WJ, Glenn O-C, Hon T, Barrera J, Kujawa S and Chiba-Falek O (2019) The Landscape of SNCA Transcripts Across Synucleinopathies: New Insights From Long Reads Sequencing Analysis. Front. Genet. 10:584. doi: 10.3389/fgene.2019.00584
R scripts for filtering, integrating, clustering, annotating and looking at gene expression within clusters from two samples of three midbrain organoids
Performing RNA-Seq data analysis and quality control using DESeq2 in R.
Latest ML / AI courses on YouTube.
Motif Scan and Enrichment Analysis (MoSEA)
MyWebApp: A simple and lightweight web application.
This is a demo about how to develop and deploy a pipeline using nextflow, scif, a container (Singularity and Docker) and its posterior deployment.
Nextflow training material for NGSchool summer 2020
Hands-On training 2015
Adapted session for a one-day training
A statistical framework for ploidy estimation using NGS short-read data
Statistical course on multi-omics data integration
Bioinformatics one-liner for 100 days
A package for constructing eukaryotic pan-genomes
a simple Python script that helps you find and list all PDF files in the current directory. It provides an easy way to quickly locate and work with PDF files within a given folder.
Mass spectrometry Perseus Data analysis
Course materials for PRACE Introduction to Spark for Data Scientists.
Code for the ProteinMPNN paper
R Markdown documentation template for two NGS datasets
RBP-Data-Processing is a repository containing R code for processing RNA-binding protein (RBP) datasets. The code imports the data table, performs data cleaning and transformation operations, and saves the processed dataset. It provides a convenient and reproducible workflow for analyzing RBP data obtained from external sources.
To perform RNA-Seq data analysis and calculate length-scaled transcripts per million (TPM) values using the Salmon tool and the GenomicFeatures package in R.
RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
This repository provides scripts for RNA-Seq data analysis using JunctionSeq and QoRTs, enabling quality control, differential splicing analysis, and generation of browser tracks.
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.