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Nnamdi Joseph Asouzu's Projects

bioinformatics-thesis-project icon bioinformatics-thesis-project

This research project is based on comparative genomics and phylogenetics analysis. These codes were used to analyze genomic data and show evidence of co-evolution between Lactobacillus bacteria and bacteriophages.

biostatistics icon biostatistics

Projects on statistical concepts such as model fitting and selection, mixed / hierarchical models, longitudinal models and models for missing data.

dashboard--using-dash-plotly icon dashboard--using-dash-plotly

This script uses Dash/Plotly library to produce an interactive dashboard for simultaneous analysis for multiple datasets.

deep_trader icon deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

docker icon docker

Hosting of Rshiny app on docker

gatk-pipeline icon gatk-pipeline

A shell script which implements GATK pipeline for variant calling.

icomic icon icomic

GUI for variant calling pipeline

javaproject icon javaproject

A java project to design a road navigation system with different conditions on various types of roads. Features of object-oriented programming such as polymorphism, dynamic binding and inheritance were used in this project. Equally, defensive, total and nominal programming techniques were extensively used in this project

metagenomics_summer_school icon metagenomics_summer_school

Course materials for the Genomics Aotearoa Metagenomics Summer School, to be hosted at the University of Auckland in December

proclasp icon proclasp

Classification of prokaryotic genomes on the species level

projects icon projects

:page_with_curl: A list of practical projects that anyone can solve in any programming language.

snpsvm icon snpsvm

A support vector machine for calling variants from next-gen sequencing data

statistical_learning-with-r icon statistical_learning-with-r

Projects on statistical learning concepts such as linear regression, classification techniques(logistic regression, LDA and KNN), resampling methods, linear model selection, lasso and ridge regression, GAM, decision trees, SVM, PCA and clustering techniques

timeseries icon timeseries

This script combines multiple datasets into a dictionary of data frames and produces time series subplots of any set of chosen variables whilst making use of pandas resampling and rolling functions.

univariate-statistical-data-analysis icon univariate-statistical-data-analysis

Projects on the following concepts: correlation analysis, hypothesis testing, linear regression, model diagnostics and variable selection, logistic regression and ANOVA

wes_shinydiscover icon wes_shinydiscover

A Shiny interface to filter and identify variants of interest from whole exome data

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