Pinned Repositories
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
bokeh
Interactive Web Plotting for Python
Genome_Research_2017
Code associated with manuscript about human islet single cell transcriptomics
multiClust
multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles
Multiomic_Browser
An R shiny application for visualization of EndoC-bH1 and human islet genomic data
PBMC_CITEseq
CITE-seq profiling of human PBMCs at baseline and activation conditions
V-SVA
V-SVA: An R Shiny application for detecting and annotating hidden sources of variation in single cell RNA-seq data
BiFET
A robust statistical test for TF footprint data analyses
iasva
Iteratively Adjusted Surrogate Variable Analysis
nlawlor's Repositories
nlawlor/V-SVA
V-SVA: An R Shiny application for detecting and annotating hidden sources of variation in single cell RNA-seq data
nlawlor/PBMC_CITEseq
CITE-seq profiling of human PBMCs at baseline and activation conditions
nlawlor/multiClust
multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles
nlawlor/Genome_Research_2017
Code associated with manuscript about human islet single cell transcriptomics
nlawlor/Multiomic_Browser
An R shiny application for visualization of EndoC-bH1 and human islet genomic data
nlawlor/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
nlawlor/awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
nlawlor/bokeh
Interactive Web Plotting for Python
nlawlor/CellView
Simple App to visualize single cell datasets
nlawlor/community-starter-kit
Short Description of Project goes here
nlawlor/d3-book
Code examples for “Interactive Data Visualization for the Web”
nlawlor/github-pages-with-jekyll
nlawlor/iasvaExamples
IA-SVA data examples
nlawlor/intro-html
A robot powered training repository :robot:
nlawlor/jekyll-seo-tag
A Jekyll plugin to add metadata tags for search engines and social networks to better index and display your site's content.
nlawlor/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
nlawlor/markdown-portfolio
nlawlor/MultiQC
Aggregate results from bioinformatics analyses across many samples into a single report.
nlawlor/nlawlor.github.io
My personal website using Dean Attali's Beautiful Jekyll can be found here
nlawlor/OCram85.com
My personal blog about PowerShell and automation in general.
nlawlor/oneliners
Useful bash one-liners for bioinformatics.
nlawlor/powsimR
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.
nlawlor/Repo-2017
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning
nlawlor/reveal.js
The HTML Presentation Framework
nlawlor/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.
nlawlor/scrublet
Detect doublets in single-cell RNA-seq data
nlawlor/single-cell
Methods for pre-processing, analysis, and visualization of single cell genomics data
nlawlor/singleCellSeq
Batch effects and the effective design of single-cell gene expression studies
nlawlor/training-kit
Open source on demand courses and cheat sheets for Git and GitHub
nlawlor/VerifyBamID
A robust tool for DNA contamination estimation from sequence reads using ancestry-agnostic method.