Sumeet Mankar's Projects
A list of cool features of Git and GitHub.
The Open Source Data Science Masters
Instructions and helpful R code for Running GEMMA and GAPIT
Hands-On Data Science and Python Machine Learning, published by Packt
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.
Heritability in plant breeding - R and SAS code examples
My R Projects
A collection of scripts for building and running HTCondor jobs and workflows
Tools for High-Throughput Phenotyping
LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on VCF files
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
ML based predictions for MET analyses
Code for testing various M1 Chip benchmarks with TensorFlow.
Multivariate adaptive shrinkage methods used for analysis GTEx data in Urbut et al (2017).
🔥 The Complete Customizable Software Developer Portfolio Template which lets you showcase your work and provides each and every detail about you as Software Developer.
MoMA: Modern Multivariate Analysis in R
GWAS Results for Multi-Trait GWAS Methods Reveal Loci Associated with Maize Inflorescence and Leaf Architecture
Files used for Fernandes et al. (2021) a Multivariate Stepwise GWAS model
Glittery data analysis and multi-variate analysis for all kinds of beautiful, big and small data sets. But remember - rubbish in = rubbish out!
A toolkit developed by JhuangLab members to facilitate the analysis of next-generation sequencing (NGS) data.
repository for code used in analysis of open wild wheat consortium