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
Analyse sleep from movement (e.g. in Drosophila)
Data structure to store and manipulate high throughput behavioural data in R
A collection of R functions to aid in host-pathogen genomic research
R package: Condition-Decomposition Normalization for Biological Applications
A package for automated quantification of non-orthogonal, multiplexed ddPCR data
Protein Binding Models
Analysis of high-throughput genetic perturbation screens in R.
This repository is a supplementary information repository from García-Merchán et al... 2020 publication.
Introductory biodata analysis and visualisation. 🦠
This is the companion package to "A Hitchhiker's Guide to Statistics in Biology" by Stephen R. Bowley, Edzard van Santen, Simon Riley, and Ruth Hummel. It provides all the required data sets used in the text's example analyses, facilitates the installation of other packages required for those analyses and provides a few convenience functions, an…
Collection of tools for calculations in life science labs.
R scripts and data used to produce the "Genotoxic Evaluation of Mexican Welders Occupationally Exposed to Welding-Fumes Using the Micronucleus Test on Exfoliated Oral Mucosa Cells: A Case-Control Study" paper
Biological Sequence Statistics in R
Custom code of research paper "Variation-preserving normalization unveils blind spots in gene expression profiling"
Analysis of a research database to model the presence of invertebrates: Multiple linear regression, logistic regression, Anova test and Ancova test.
A Collection of R Scripts to process, error check and run home range analysis of Yellow-Legged Gull GPS Data as captured at IMEDEA (Mediterranean Institute for Advanced Studies)
Script to summarize the results from several structure runs
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