schlogl2017 Goto Github PK
Name: Paulo Sérgio Schlogl
Type: User
Bio: Bioinfo lover
Location: Brazil
Name: Paulo Sérgio Schlogl
Type: User
Bio: Bioinfo lover
Location: Brazil
Various scripts for efficient processing of 10k Salmonella genomes
Intro to workflows for efficient automated data analysis, using snakemake.
Explore the world of genome assembly and gain an understanding of the power and pitfalls of sequencing technologies and assembly techniques.
An exploratory proteome analysis of breast cancer proteomes dataset as part of the DTU 22100 "R for Data Science" course.
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.
Public Repository for cs109a, 2017 edition
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
http://www.combio.pl/alfree
🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
Materials for Spring 2018 Applied Genomics Course
Biplots, Volcano plots, PCA plots, Heatmaps and more Computational Genomics data created and visualized during University of Pittsburgh course, Computational Biology (BIOSC1540), with Dr. Miler Lee
AUR 2021
A curated list of awesome Bioinformatics libraries and software.
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
:books: List of awesome university courses for learning Computer Science!
:memo: An awesome Data Science repository to learn and apply for real world problems.
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
A curated list of awesome deep learning applications in the field of computational biology
List of computational resources for analyzing microbial sequencing data.
:books: Directory of Python books
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
In this training course you will find theory and practice material for introducing yourself to wgs analysis for bacterial, including outbreak investigation.
A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
Bash shell scripts related to bioinformatic analyses
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.