Drexel's EESI Lab.

themetagenomics

microbiome_embeddings

ISM

Comp_Metagenomics_resources

Materials for Computational Metagenomics class developed for NSF TUES project

theseus

bio-course-materials

Course materials for a bioinformatics course.

sequence_attention

Learning, Visualizing and Exploring 16S rRNA Structure Using an Attention-based Deep Neural Network

BioDS_NCBI-Biopython_Notebooks

Notebooks to introduce biopython

MetaMutationalSigs

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

seq2att

16s_embeddings

Complet-Plus

Complet-Plus by Rachel Nguyen and Drexel EESI Lab

exploring_thematic_structure

qiime2_tutorial

inbc-supporting-information

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

Naive_Bayes

A Naive Bayes classifier for metagenomic data.

ncov_ism

Informative Subtype Marker (ISM) is an efficient framework for genetic subtyping of a pandemic virus and implement it for SARS-CoV-2, the novel coronavirus that causes COVID-19.

FDSL_Evo

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

AttentionGO

bio-course-project

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

fastddtw

intro-to-picotte

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

PTAB

Analysis and Outcome Prediction for USPTO Patent Trial and Appeals Board proceedings and decisions.

SSIL

Information and related links about the semi-supervised incremental learning project

TEA

(Taxa Evaluation and Assessment) Parse, organize, calculate and save data from metagenomic profile files