#BioC23 @R-Ladies Rome
Department of Statistics - La Sapienza
August 28, 2023
Bioconductor
is a collaborative project that started in2001
to create software for computational biology and bioinformatics. Its main goal is to develop tools for analyzing and understanding large biological datasets from experiments. These tools include statistical analysis, visualization, and making results reproducible.
Types | N |
---|---|
Software | 2230 |
Annotation | 912 |
Experiment | 419 |
Workflow | 27 |
Total | 3588 |
Watch party
Reproducible Manuscripts with Quarto by J.J. Allaire - CEO of POSIT PBC - length 23:18
{SPAMMER}: Spatial Analysis
of Multi-omics Measurements in R by Harkirat Kaur Sohi - Pactific Northwest
- length 11:42
{rworkflows}
: taming the Wild West of R packages
by Brian Schilder - Imperial College London
, UK - length 10:29
rOpenSci
👉 https://ropensci.org/ provides Mentorships
opportunities: https://ropensci.org/champions/
Model-based Dimensionality Reduction
for Single-cell RNA-seq with Generalized Bilinear Models by Phillip Nicol - Harvard Cancer
- length 08:41
Epidemiology
for Bioinformaticians by Chloe Anya Mirzayi - CUNY School of Public Health
- length 26:09Material: https://rpubs.com/cmirzayi/epi4bio2023
Differential Expression Analysis
using Limma and qsvaR by Hedia Tnani - Johns Hopkins - Liber Institute for Brain Development
- length 19:13Tidy genomic and transcriptomic analyses
, a {tidyverse} framework for genomics analysis by Stefano Mangiola and Michael Love - WEHI: Walter and Eliza Hall Institute of Medical Research
Smorgasbord 2023
Thank you for joining us at this watch party! 🎉 We delved into the latest developments in computational biology and bioinformatics. We’ve explored the remarkable growth of Bioconductor, reflecting the dynamic nature of this field.
How can I contribute?
Become an Instructor: Bioconductor Carpentries global teaching program
R-Ladies Rome sponsored by RConsortium