nongeso Goto Github PK

genomics-r-intro

Intro to R and RStudio for Genomics

getting-started-with-open-source

glosario

A multilingual glossary for computing and data science terms.

glosario-r

glosario create and retrieve multilingual glossaries.

gwas

Genome-wide Association Study (GWAS) Tutorial

hot_not

droidcon.co.ke talk

htseq-merge

R script for combine HTSeq outputs into one read count matrix in R

ieee-ai-workshop

its_metagenomic_analysis

Metagenomic analysis of fungi communities facilitating composting

learning_git

Beginning Git strides

maftools

Summarize, Analyze and Visualize MAF files from TCGA or in house studies.

metagenomic_analysis_bi2020

metatranscriptome-workshop

Metatranscriptomics Tutorial

metatranscriptomics_workflow

Pipeline for analyses of bacterial metatranscriptomics data

michigannlp.github.io

LIT group website

microbiome_amplicons

Codes for visualization

microbiome_helper

An assortment of scripts to help process and automate various microbiome and metagenomic bioinformatic tools.

microbiome_visualization

R analysis Script for Visualizing Pre-processed 16s, 18s, and ITS Phyloseq Objects

microbiotaprocessworkshop

The workshop of microbiome datasets analysis using MicrobiotaProcess

mig-phylogenomics

MIG Meloidogyne species phylogenomics and and ploidy analysis

mku-bioinformatics-openscience-seminar-

myfirst

My first repository to store and write.

nemafrica.github.io

NemAfrica website -> https://nemafrica.github.io/

netminer

A pipeline for high-confidence RNA-seq gene co-expression network inference

nongeso.github.io

Nehemiah Ongeso Personal Website

online-cv

A minimal Jekyll Theme to host your resume (CV)

pipelines

plant-nematode-interaction

Analysis documentation for RNA-seq Data to establish gene-gene co-expression network of Root-Knot nematode

predicting_california_housing_prices

Hard-coding a Neural Network from scratch to Predict California Housing Prices...

python-and-other-scripts

The project aims to fetch arbovirus data from East Africa and analyze trends by mapping the sequence data and research interest.