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-CS109A
schlogl2017/2022-Nov-Introduction-To-Python-For-Bioinformatics
This workshop consists of five half-day sessions, combining lecture and exercises to teach you the basics of programming (using python), with an emphasis on bioinformatics. Completion of this material will allow participants to get the most out of our other experiment-centric workshops. No previous python experience is necessary.
schlogl2017/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
schlogl2017/awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
schlogl2017/bacterial-genomics-tutorial
schlogl2017/BIO_BIT_Bioinformatics_209
schlogl2017/Biodatascience101_notebooks
Biological data-science Jupyter notebooks designed for biodatascience101.github.io
schlogl2017/BioinfoCourse
schlogl2017/Bulk_RNAseq_Course_Base
schlogl2017/Computational-Discovery-on-Jupyter
Computational Discovery on Jupyter Open Educational Resource by Neil J. Calkin, Eunice Y. S. Chan, and Robert M. Corless
schlogl2017/cs-video-courses
List of Computer Science courses with video lectures.
schlogl2017/datasets
NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.
schlogl2017/DeepSeqAnalysis
Course materials for a graduate class in applied bioinformatics for biologists
schlogl2017/full_spectrum_bioinformatics
An open-access bioinformatics text
schlogl2017/github-profile-readme-generator
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
schlogl2017/integrating-pandas-with-scikit-learn
Tutorial covering a new workflow available going from pandas to scikit-learn
schlogl2017/khoice
k-mer length analysis
schlogl2017/Machine-Learning-Books-With-Python
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
schlogl2017/Notes
schlogl2017/pfb2022
Programming for Biology Class @ CSHL 2022
schlogl2017/practical-data-analysis
Short course using RStudio for biological data analysis
schlogl2017/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
schlogl2017/Prokamers
Code for kmers in genomes
schlogl2017/python-bioimage-analysis-tutorial
A self-explanatory, hands-on intro to bioimage analysis in python. Slightly outdated but still much liked by learners.
schlogl2017/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
schlogl2017/RainCloudPlots
Code and tutorials to visualise your data that is both beautiful *and* statistically valid
schlogl2017/Scripts
Conjunto dos mais variados Scritps. PNADC, CAGED, IPCA, etc
schlogl2017/SQL-Tutorials
Tutorials on SQL
schlogl2017/stamps2022
Materials for the STAMPS 2022 course at the MBL in Woods Hole, MA, USA
schlogl2017/UnivCambridge_ScRnaSeqIntro_Base