Kaziaa

Kaziaa

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Twitter:@kaziaa

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Kaziaa's repositories

gganimate

A Grammar of Animated Graphics

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awesome-CRISPR

List of software/websites/databases/other stuff for genome engineering

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tutorials

CellProfiler tutorial pipelines and images

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Bash-Oneliner

A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

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awesome-cheminformatics

A curated list of Cheminformatics libraries and software.

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Data-Science-Resources

Resources and tutorial for data science

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awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

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dsbook

Repository for data science book

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training-material

A collection of Galaxy-related training material

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Lilly-Medchem-Rules

Implementation of Lilly Medchem Rules - J Med Chem 2012

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applied-computational-genomics

Applied Computational Genomics Course at UU: Spring 2020

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Neurohacking

Neurohacking Coursera Course

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dipDRC

Code for analyzing dose-response curves using DIP rate as the effect metric

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eMAGMA-tutorial

A step by step guide on how to use eMAGMA, an approach to conducting eQTL informed gene-based tests.

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GWA_tutorial

A comprehensive tutorial about GWAS and PRS

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pySpacell

A Python package for single-cell spatial image analysis.

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Cheatsheets

Cheatsheet for commonly used databases, version control frameworks and programming languages

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rdkit_blog

RDKit related blog posts, notebooks, and data.

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PSSR

Deep Learning-Based Point-Scanning Super-Resolution (PSSR)

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python-data-science

Python3 teaching materials for data science (2 days)

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STAR

RNA-seq aligner

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scikit-image

Image processing in Python

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labs

Rmd source files for the HarvardX series PH525x

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In-depth-NGS-Data-Analysis-Course

Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.

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rnaseq_tutorial

Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.

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