nlawlor Goto Github PK
Name: Nathan Lawlor
Type: User
Bio: Computational Biology, (Epi)genomics, Transcriptomics
Name: Nathan Lawlor
Type: User
Bio: Computational Biology, (Epi)genomics, Transcriptomics
:memo: An awesome Data Science repository to learn and apply for real world problems.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Interactive Web Plotting for Python
Simple App to visualize single cell datasets
Short Description of Project goes here
Code examples for “Interactive Data Visualization for the Web”
Code associated with manuscript about human islet single cell transcriptomics
IA-SVA data examples
A robot powered training repository :robot:
A Jekyll plugin to add metadata tags for search engines and social networks to better index and display your site's content.
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles
An R shiny application for visualization of EndoC-bH1 and human islet genomic data
Aggregate results from bioinformatics analyses across many samples into a single report.
My personal website using Dean Attali's Beautiful Jekyll can be found here
My personal blog about PowerShell and automation in general.
Useful bash one-liners for bioinformatics.
CITE-seq profiling of human PBMCs at baseline and activation conditions
Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning
The HTML Presentation Framework
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.
Detect doublets in single-cell RNA-seq data
Methods for pre-processing, analysis, and visualization of single cell genomics data
Batch effects and the effective design of single-cell gene expression studies
Open source on demand courses and cheat sheets for Git and GitHub
V-SVA: An R Shiny application for detecting and annotating hidden sources of variation in single cell RNA-seq data
A robust tool for DNA contamination estimation from sequence reads using ancestry-agnostic method.
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 is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.