Pinned Repositories
ASTRAL
Accurate Species TRee ALgorithm
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-deepbio
A curated list of awesome deep learning applications in the field of computational biology
awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
awesome_spatial_omics
tools and notes for spatial omics
biostar-tutorials
Code for biostar tutorials - mostly R and Perl
blog_posts
Blog posts for matatat.org
bootcamp-central
PSU bootcamp on reproducible research
bootcamp_test
practice_folder
prakashraaz's Repositories
prakashraaz/ComputationalGenomicsManual
Robs manual for the computational genomics and bioinformatics class.
prakashraaz/Data-science-best-resources
Carefully curated resource links for data science in one place
prakashraaz/Data-Science-Resources
Data Science related resources and cheatsheets
prakashraaz/DataSciencePython
common data analysis and machine learning tasks using python
prakashraaz/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
prakashraaz/DeepTE
Neural network classification of TE
prakashraaz/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
prakashraaz/excelerate-scRNAseq
Single RNA-seq data analysis with R (Finland, May, 2019)
prakashraaz/ggpy
ggplot port for python
prakashraaz/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
prakashraaz/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
prakashraaz/jcvi
Python utility libraries on genome assembly, annotation and comparative genomics
prakashraaz/LTR_retriever
LTR_retriever is a highly accurate and sensitive program for identification of LTR retrotransposons; The LTR Assembly Index (LAI) is also included in this package.
prakashraaz/machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
prakashraaz/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
prakashraaz/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
prakashraaz/ml_lab
prakashraaz/Module1
Teaching material for Summer Institute in Statistics for Big Data Module 1.
prakashraaz/my_scripts
scripts_prt
prakashraaz/Mycoheterotrophy_paper_scripts
perl_and_r_scripts
prakashraaz/NSF-Summer-REU-Bioinformatics-Training
NSF Summer REU Training
prakashraaz/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
prakashraaz/RNA-Sequence-Analysis-Non-Model-Species-Eastern-larch
prakashraaz/scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
prakashraaz/Seq-Gen
Sequence simulator
prakashraaz/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
prakashraaz/toast2018
Introduction to Nanopore Sequencing - Prac material and presentations from The Omics Australia Tutorials Sydney (TOAST) workshop 19th - 20th of March 2018.
prakashraaz/trinityrnaseq
Trinity RNA-Seq de novo transcriptome assembly
prakashraaz/vsearch
Versatile open-source tool for metagenomics
prakashraaz/wgd
Python package and CLI for whole genome duplication analyses