Name: Shian Su
Type: User
Company: Walter and Eliza Hall @WEHI_research
Bio: Bioinformatician, biostatistician and biological lifeform. Interested in R, C++ and Javascript for genomic data processing, summarisation and visualisation.
Location: Melbourne, Australia
Shian Su's Projects
Signal-level algorithms for MinION data
Oxford Nanopore Technologies fast5 API software
The Composer of ggplots
This repository is for a shiny implementation to visualise GO pathways
Read PLINK BED/BIM/FAM files into R
Create interactive web graphics from R via plotly's JavaScript graphing library
The open source javascript graphing library that powers plotly
A grammar of genomic data transformation
Bob Loblaw's Law Blog Applauds Porexplorer
Pry open the covers of R
A functional programming toolkit for R
Reference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing
:fire: A highly scalable, offline-first foundation with the best developer experience and a focus on performance and best practices.
A lightweight React Boilerplate
Read flat files (csv, tsv, fwf) into R
R package: Modelling in R. Interactivity in JS.
RNAseq analysis in R workshop, originally taught: http://combine-australia.github.io/2016-05-11-RNAseq/
Binary alignment (BAM), FASTA, variant call (BCF), and tabix file import
R interface to genome annotation files and the UCSC genome browser
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using lightweight alignments
A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments
Clone of the Bioconductor repository for the scater package, see https://bioconductor.org/packages/devel/bioc/html/scater.html for the official development version.
Palettes for R based on the Scientific Colour-Maps
R package and web-tool for interactive visualisation and analysis of single cell RNA-Seq data
scLVM is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources, thereby allowing for the correction of confounding sources of variation.