sumeetmankar171 Goto Github PK

2022_cstm_r_data_visualization_workshop

Provides attendees with an introduction to data visualization using ggplot2

advancedpythonforbio

Work from the book 'Advanced Python for Biologists'

aida_ortiz_comparativegenomic_assignment

Report, Scripts and files for the Comparative Genomics assigmment.

analysis-pipeline

awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

bamdeal

BamDeal: a comprehensive toolkit for bam manipulation

bayesian_growth

beautiful-docs

Pointers to useful, well-written, and otherwise beautiful documentation.

bi-be-cs-183-2023

Introduction to Computational Biology and Bioinformatics Course at Caltech, 2023

bigsnpr

R package for the analysis of massive SNP arrays.

bioinformatics

:microscope: Path to a free self-taught education in Bioinformatics!

bioinformatics-one-liners

Bioinformatics one liners from Ming Tang

bioinformatics-workbook

Bioinformatics Workbook repository

bmgp_2020

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

cheatsheets

RStudio Cheat Sheets

cmplot

📊 Circular and Rectangular Manhattan Plot

cs-video-courses

List of Computer Science courses with video lectures.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

data-science

The best way to learn data science is to do datascience

data-science-1

:bar_chart: Path to a free self-taught education in Data Science!

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data_science_for_biologists_2019

Lab materials for the University of Washington course Data Science for Biologists (Winter 2019, BIO419/519)

datascience-workbook

Tutorials and introduction to linux and high performance computing

deep-learning-for-genomics-

deepcombi

A repository for the DeepCombi project

edu

Data Science Education Programs

effective-pandas

Source code for my collection of articles on using pandas.

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

etaagen.github.io

Personal website