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computer_vision_projects

Projects from Udacity Computer Vision Nanodegree

ctulip

Modified version for TULIP to classifying Canine RNA-seq samples into different tumor types.

data_engineering_projects

Projects from Udacity Data Engineering Nanodegree

data_science_projects

Projects from Udacity Data Science Nanodegree

deep_learning_projects

Projects from Udacity Deep Learning Nanodegree

docs

draw_convnet

dsvirus-variant-discovery-and-annotation-pipeline

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

front_end_web_developer_projects

Projects from Udacity Front-End Web Developer Nanodegree

full_stack_web_developer_projects

Projects from Udacity Full Stack Web Developer Nanodegree

gooddoc

A Template for Clear and Simple Documentation of Bioinformatics Code

gps_trajectory

herv_ngs

Work related to identifying and analyzing human endogenous retroviruses in RNA-seq data

hiv-hypermutants

Website comparing results from two tools identifying HIV hypermutants: Hyperfreq and Hypermut.

merge_maxquant

Python script to merge Mix 1 and Mix 2 proteinGroups.txt files generated from MaxQuant.

microarray-analysis

Analysis of microarray data using R.

n3c_pregnancy_cohort

Code for defining pregnancy cohort in N3C

nci-doe-collab-pilot3-syndata

Suite of statistical/machine learning methods to generate discrete/categorical synthetic data

nlp-exercises

nlp_correlates_protection

NLP project to identify COVID-19 correlates of protection from abstracts

normalization

RNA-Seq normalization and quantification pipeline

phantum

(P)redicting (H)um(AN) outcomes from (T)ext- and image-data (U)sing (M)achine Learning

process_maxquant

Python script for processing MaxQuant files for downstream analysis

proteomic_tutorials

how-to tutorials to run proteomic software programs

reproducibility-bioinformatics

Reproducing results from a published paper.

serocovpop-households

Code for Analyses of SARS-COV-2 household transmission in Geneva

set-game

Play SET using image recognition and deep learning

setcardrecognition

Goal: Create a mobile app to take pictures of SET cards and recognize if a set exists in the given cards

streamlit_covid_nlp

Streamlit app for COVID-19 literature