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
schlogl2017/2020-Genome_Assembly_Workshop
Explore the world of genome assembly and gain an understanding of the power and pitfalls of sequencing technologies and assembly techniques.
schlogl2017/2020_group07
An exploratory proteome analysis of breast cancer proteomes dataset as part of the DTU 22100 "R for Data Science" course.
schlogl2017/Awesome-Deep-Learning-Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
schlogl2017/Bayes_Computing_Course
schlogl2017/bayes_course_july2020
Course materials for short course on Bayesian computation
schlogl2017/bioinformatics-coffee-hour
Short lessons from FAS Informatics coffee hour
schlogl2017/bioinformatics_primer
Bioinformatics with Unix, bash, Make, Python, and parallel
schlogl2017/codes
general_stuff
schlogl2017/ComputationalGenomicsManual
Robs manual for the computational genomics and bioinformatics class.
schlogl2017/data-science-sequencing.github.io
Web site for the class EE 372 : Data Science for High-Throughput Sequencing at Stanford
schlogl2017/dataAnalysis
Using python for search words in proteins data banks
schlogl2017/Deep-Learning-Specialization-Coursera
Deep Learning Specialization Course by Coursera. Neural Networks, Deep Learning, Hyper Tuning, Regularization, Optimization, Data Processing, Convolutional NN, Sequence Models are including this Course.
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/fasteR
Fast Lane to Learning R!
schlogl2017/genomicscourse
For QMUL's Genome Bioinformatics MSc module BIO721P & SIB's Spring school in bioinfo & population genomics
schlogl2017/Intro-to-Shell
Introduction to the Unix shell
schlogl2017/ipython-notebooks
A collection of IPython notebooks covering various topics.
schlogl2017/kmertools
schlogl2017/mathematical-python
Introduction to Mathematical Computing with Python and Jupyter
schlogl2017/ProtGauss
Gaussian representation of protein sequences to predict nucleosome-binding modes of transcription factors
schlogl2017/R_for_biologists
Scripts and data for Plotting in R for Biologists, a video course on YouTube
schlogl2017/RNA-seq-analysis
RNAseq analysis notes from Ming Tang
schlogl2017/RNAseq_workshop
schlogl2017/SBC361-programming-in-R
QMUL's programming in R course
schlogl2017/scDMFK
Single-cell transcriptome data clustering via multinomial modeling and adaptive fuzzy k-means algorithm
schlogl2017/scRNA-seq_notes
A list of scRNA-seq analysis tools
schlogl2017/sliding_windows
Bash script to create sliding windows from fasta files
schlogl2017/Teaching-Dundee-BS32010
Files for the University of Dundee Comparative Genomics and Visualisation lectures, March 2015 onwards
schlogl2017/workshop-bioinformatics-for-PIs
NBIS course Bioinformatics for Principal Investigators
schlogl2017/workshops_UW_Madison
Files associated with microbiome workshops at the Bioinformatics Resource Center (BRC) at the U. of Wisconsin-Madison