Visualise high throughput behavioural data in R, based on ggplot2
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Updated
Nov 17, 2022 - R
Visualise high throughput behavioural data in R, based on ggplot2
Data structure to store and manipulate high throughput behavioural data in R
A collection of R functions to aid in host-pathogen genomic research
Fast and Efficient Processing of PAM Data
Analyse sleep from movement (e.g. in Drosophila)
R package: Condition-Decomposition Normalization for Biological Applications
Protein Binding Models
A package for automated quantification of non-orthogonal, multiplexed ddPCR data
pam: An R Package for Fast and Efficient Processing of Pulse‐Amplitude Modulation Data
Analysis of high-throughput genetic perturbation screens in R.
Biological Sequence Statistics in R
Analysis of RNA-seq using R
Collection of tools for calculations in life science labs.
Introductory biodata analysis and visualisation. 🦠
Bulk-RNA seq workflow
This repository is a supplementary information repository from García-Merchán et al... 2020 publication.
Shiny app for exploring QPCR data
Gray Leaf Spot for RStudio
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