ambuvjyn
Passion for Bioinformatics, Biotechnology, Molecular biology, Computational Biology and Statistics
ICAR - Central Tuber Crops Research InstituteIndia
Pinned Repositories
AgriAnalytics-R
A software provides statistical analysis and data visualization specifically tailored for Agricultural Research
ambuvjyn
baseq
Basic Sequence Processing Tool for Biological Data is a set of functions used in bioinformatics to analyze DNA or RNA sequences, perform tasks such as cleaning sequences, counting nucleotides, calculating GC content, generating reverse complements, and translating sequences to protein to just name a few.
bioarchlinux-packages
bioarchlinux build status site
biocommons-r-intro
Bioconductor data science introduction
Codes-for-Medium-Articles
Codes for Medium Articles
fixr
Fixing Data Made Easy for Statistical Analysis
Jupyter-Notebook-to-Mark-Latitude-and-Longitude-on-Spacial-Maps
Jupyter Notebook to Mark latitude and Longitude on Spacial Maps
Jupyter-Notebook-to-Retrieve-Longitude-and-Latitude-of-Bulk-Place-Data
Jupyter Notebook to Retrieve Longitude and Latitude of a huge number of places
R-Markdown-Document-for-Spacial-Data-Analysis
R Markdown Document for Spacial Data Analysis with Product and a Rating value
ambuvjyn's Repositories
ambuvjyn/Codes-for-Medium-Articles
Codes for Medium Articles
ambuvjyn/AgriAnalytics-R
A software provides statistical analysis and data visualization specifically tailored for Agricultural Research
ambuvjyn/baseq
Basic Sequence Processing Tool for Biological Data is a set of functions used in bioinformatics to analyze DNA or RNA sequences, perform tasks such as cleaning sequences, counting nucleotides, calculating GC content, generating reverse complements, and translating sequences to protein to just name a few.
ambuvjyn/ambuvjyn
ambuvjyn/bioarchlinux-packages
bioarchlinux build status site
ambuvjyn/fixr
Fixing Data Made Easy for Statistical Analysis
ambuvjyn/GATK4_Variant_Calling_Pipeline_SNP_and_InDels
ambuvjyn/Packages
Aim to be the bioinformatics repository with more and newer packages
ambuvjyn/R-Markdown-Document-for-Spacial-Data-Analysis
R Markdown Document for Spacial Data Analysis with Product and a Rating value
ambuvjyn/bioconvert
Bioconvert is a collaborative project to facilitate the interconversion of life science data from one format to another.
ambuvjyn/datasciencecoursera
ambuvjyn/datasharing
The Leek group guide to data sharing
ambuvjyn/DNA_Synthesiser
ambuvjyn/eca-bioinf-handbook
Lecture notes/book in progress on computing for conservation genomics
ambuvjyn/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
ambuvjyn/Find-And-Highlight-Duplicate-Paragraphs-In-Research-Article-or-Thesis
Suppose you have a large research article or thesis in word document format which may have hundreds of pages. As part of editing, you want to check if there are duplicate paragraphs and then highlight to make them outstanding, so that you can deal with the duplicate sentences.
ambuvjyn/India-Shape-File-State-and-Country-2023
Shape file of India : Country and State
ambuvjyn/Introduction-to-Genomic-Data-Visualization-in-R
Workshop
ambuvjyn/lbrb
Update and extension of Avril Coglan's Little Book of R for Bioinformatics
ambuvjyn/Leaflet
ambuvjyn/Parse_metrics_sh-for-variant-calling-pipeline-gatk4
For those who are looking for a working parse_metrics.sh file in the manual for Variant Calling Pipeline using GATK4 at https://gencore.bio.nyu.edu/variant-calling-pipeline-gatk4/
ambuvjyn/PML
Practical_Machine_Learning
ambuvjyn/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
ambuvjyn/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
ambuvjyn/RMCP
ambuvjyn/shinygo
ambuvjyn/swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
ambuvjyn/variant-calling-pipeline
HPC based pipelines for variant calling using GATK
ambuvjyn/variant-calling-pipeline-gatk4
Variant Calling Pipeline Using GATK4 and Nextflow
ambuvjyn/Week-4-Getting-and-Cleaning-Data-Course-Project
Part of the Getting and Cleaning Data course in Coursera