shians Goto Github PK

nanopolish

Signal-level algorithms for MinION data

normcbm

ont_fast5_api

Oxford Nanopore Technologies fast5 API software

optimisation-project-2015

packagehow

paired_fastq_split

patchwork

The Composer of ggplots

pathway-visualiser

This repository is for a shiny implementation to visualise GO pathways

plink2r

Read PLINK BED/BIM/FAM files into R

plotly

Create interactive web graphics from R via plotly's JavaScript graphing library

plotly.js

The open source javascript graphing library that powers plotly

plyranges

A grammar of genomic data transformation

porexplorer

Bob Loblaw's Law Blog Applauds Porexplorer

pryr

Pry open the covers of R

purrr

A functional programming toolkit for R

rattle

Reference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing

react-boilerplate

:fire: A highly scalable, offline-first foundation with the best developer experience and a focus on performance and best practices.

react-simple-boilerplate

A lightweight React Boilerplate

readr

Read flat files (csv, tsv, fwf) into R

rjs

R package: Modelling in R. Interactivity in JS.

rnaseq-r

RNAseq analysis in R workshop, originally taught: http://combine-australia.github.io/2016-05-11-RNAseq/

rsamtools

Binary alignment (BAM), FASTA, variant call (BCF), and tabix file import

rtracklayer

R interface to genome annotation files and the UCSC genome browser

salmon

🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using lightweight alignments

sc3

A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments

scater

Clone of the Bioconductor repository for the scater package, see https://bioconductor.org/packages/devel/bioc/html/scater.html for the official development version.

scbenchdata

scico

Palettes for R based on the Scientific Colour-Maps

sciva

R package and web-tool for interactive visualisation and analysis of single cell RNA-Seq data

sclvm

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.