Pinned Repositories
10k_genomes
Various scripts for efficient processing of 10k Salmonella genomes
2015lab1
2019-snakemake-Harvard-Informatics-nanocourse
Intro to workflows for efficient automated data analysis, using snakemake.
2020-CS109A
2020-Genome_Assembly_Workshop
Explore the world of genome assembly and gain an understanding of the power and pitfalls of sequencing technologies and assembly techniques.
2020_group07
An exploratory proteome analysis of breast cancer proteomes dataset as part of the DTU 22100 "R for Data Science" course.
schlogl2017's Repositories
schlogl2017/2019-snakemake-Harvard-Informatics-nanocourse
Intro to workflows for efficient automated data analysis, using snakemake.
schlogl2017/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
schlogl2017/awesome-python-books
:books: Directory of Python books
schlogl2017/BiCG_2019
Workshop content for Bioinformatics for Cancer Genomics workshop 2019
schlogl2017/Bioinformatics
python codes
schlogl2017/Coursera-Ng-Sequence-Models
schlogl2017/Deep_learning_examples
Examples of using deep learning in Bioinformatics
schlogl2017/deepbio
This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to applications of Deep Learning to biomedicine. Feel free to make a pull request to contribute to this list.
schlogl2017/deeplearning-biology
A list of deep learning implementations in biology
schlogl2017/DeepLearningAncientDNA
Here I show how to use Convolutional Neural Networks (CNNs) for Ancient DNA analysis
schlogl2017/DeepLearningSingleCellBiology
Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis
schlogl2017/DeepMicrobes
DeepMicrobes: taxonomic classification for metagenomics with deep learning
schlogl2017/deepomics
deep learning toolkit (written on top of tensorflow) to streamline computational biology analysis
schlogl2017/dib-training
Web site for Data Intensive Training at UC Davis
schlogl2017/DNABinding
DNA binding protein prediction work (improvement attempt over iDNAProt-ES
schlogl2017/Genomic-ULMFiT
ULMFiT for Genomic Sequence Data
schlogl2017/intro-machine-learning-2019
Course materials for An Introduction to Machine Learning 2019
schlogl2017/learning_sequence_motifs
"Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy
schlogl2017/likelihood-methods-course-2019
schlogl2017/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
schlogl2017/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
schlogl2017/oneliners
Useful bash one-liners for bioinformatics.
schlogl2017/pan-genome-analysis
Processing pipeline for pan-genome visulization and exploration
schlogl2017/pfb2019
Programming for Biology 2019
schlogl2017/phylogenetics
Workshop materials
schlogl2017/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
schlogl2017/TDA507
Computational methods in bioinformatics
schlogl2017/tfcb_2019
class materials for MCB517A through UW/Fred Hutch
schlogl2017/webinars
Code and slides for RStudio webinars
schlogl2017/workshop-genome_assembly