Name: Sirjan Sapkota
Type: User
Company: Bayer Crop Science
Bio: Plant breeder and quantitative geneticist
Location: Clemson, SC
I am currently working on application of quantitative genetics in hybrid breeding. The goals are to optimize training population design for prediction of hybrid performance and combining abilities of parent lines. I am also working on high throughput phenotyping platforms (near infrared spectroscopy and imaging using UAV) and their integration into breeding pipeline.
Below is my brief resume:
bglr-r
bioinfocontainers
Various Singularity recipes I've used to generate containers
containers
Bioinformatics containers
data-science-machine-learning-ai-resources
A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.
gp_sorghumhybrids
Mixed model analysis of heterosis in a line x tester data, heritability estimation, variance component analysis and Genomic Prediction of hybrid performance and general combining abilities
graincomp_gs
Genomic Prediction of grain composition in sorghum association panel
gs-sap_grainyield
Data, Scripts and Manuscript for effect of population structure in accuracy of GBLUP model in sorghum grain yield components
important_reads
Important paper and ideas they discuss
jupyter
Jupyter metapackage for installation, docs and chat
posters
This repository stores posters presented at various conferences and meetings.
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
r4ds
R for data science
resume
sirjansapkota
sirjansapkota.github.io
starchgwas
Genome-wide association of starch content, gene interaction network and expression analysis of candidate genes
starchprotein
Association and gene network analysis for starch and protein content in sorghum
stat-cookbook
The probability and statistics cookbook
React
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
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
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.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
