Name: Khemlal Nirmalkar
Type: User
Company: Arizona State University Tempe
Bio: Asst. Research Scientist at
Biodesign Center for Health Through Microbiomes
Location: Tempe, Arizona, USA
Blog: https://www.linkedin.com/in/khemlal-nirmalkar-69102719/
Khemlal Nirmalkar's Projects
:mag_right: :pill: Mass screening of contigs for antimicrobial and virulence genes
ALDEx_bioc is the working directory for updating bioconductor
paper code from https://doi.org/10.1038/s41467-024-48355-5 Alex-Mohr n Corrie Whisner, intermittent fasting versus continuous caloric restriction
Annotation of Metabolite Origin via Networks: A tool for predicting putative metabolite origins for microbes or between microbes and host with or without metabolomics data
Collection of notebooks describing the basic analysis workflow for a 16S rRNA gene amplicon sequencing project
MEGARes and AmrPlusPlus - A comprehensive database of antimicrobial resistance genes and user-friendly pipeline for analysis of high-throughput sequencing data
This is the source code for the "Analysis of Microbiome Community Data in R" ICPP 2018 workshop. The website is available at: https://grunwaldlab.github.io/analysis_of_microbiome_community_data_in_r/
ancient oral microbiomes with some good taxonomy figures
R scripts for Analysis of Composition of Microbiomes (ANCOM).
Differential abundance (DA) and correlation analyses for microbial absolute abundance data
Antimicrobial Resistance Identification By Assembly
Advanced metagenomic Sequence Analysis in R
codes from paper https://www.nature.com/articles/s41564-024-01739-1
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
🐝 Awesome R packages that offer extended UI or server components for the R web framework Shiny
Computational workflows for metagenomics tasks, by the Bhatt lab
bioBakery: Virtual environment for Huttenhower Tools
The Biological Observation Matrix (BIOM) Format Project
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
differential analyses tool from Knight lab
** Blood metabolome predicts gut microbiome α-diversity in humans NatureBiotech Gibbons group**
Bracken (Bayesian Reestimation of Abundance with KrakEN) is a highly accurate statistical method that computes the abundance of species in DNA sequences from a metagenomics sample.
A visualization tool for exploratory data analysis of metagenomic data
Automatically exported from code.google.com/p/cdhit
Circular visualization in R
📊 Circular and Rectangular Manhattan Plot