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16s_embeddings

age_paper_codes

codes and test dataset for age paper on Microbiome 2013

arb-toolkit

A Toolkit for ARB to Integrate Custom Databases and Externally built Phylogenies

attentiongo

bio-course-materials

Course materials for a bioinformatics course.

bio-course-project

biods_ncbi-biopython_notebooks

Notebooks to introduce biopython

comp_metagenomics_resources

Materials for Computational Metagenomics class developed for NSF TUES project

compare-orf-glimmer

A Bioinformatics Lab to compare a basic ORF predictor to Glimmer's Interpolated Markov Model performance

complet-plus

Complet-Plus by Rachel Nguyen and Drexel EESI Lab

covid

SARS-CoV-2 Spike Sequence Variant Analysis Using Interpretable Deep Learning

covid_severity

Predicting COVID-19 Disease Severity from Spike Genotype Based on Global Sequencing Data

dna-utils

general utilities for manipulating sequences and fasta files - high performance kmer counting

exploring_thematic_structure

fastddtw

fdsl_evo

Repository for code from Streamlining Computational Fragment-Based Drug Discovery through Evolutionary Optimization Informed by Ligand-Based Virtual Prescreening

fizzy

Feature selection for biological data formats (Fizzy)

fizzyqiime

QIIME build with information theoretic feature selection functionality. Note this project include the official build of QIIME (www.qiime.org) with the Fizzy feature selection module for metagenomic feature selection.

galaxy-tools

EESI tools for galaxy

inbc-supporting-information

Supporting Information of "Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life"

incremental-protein-search

intro-to-picotte

ism

learning-ml-microbiome-analysis-in-r

Various tutorials and code from classes taught and previous work.

metaberta

metagenomics_course2

Metagenomics Course with Steve Woloszynek's materials

metamutationalsigs

https://hub.docker.com/r/pp535/metamutationalsigs

microbiome-analysis-course-stat.-analysis-of-genomics-

microbiome_embeddings

midapp

Missing Data Prediction with Python