Busch Lab

Resources

Here are links to some of the resources we've developed that others might find useful.

ZMP - Zebrafish Mutation Project

Zebrafish Mutation Project mutagenesis schematic
https://zmp.buschlab.org/

The Zebrafish Mutation Project at the Wellcome Sanger Institute generated a mutant archive of over 40,000 alleles covering 60% of zebrafish protein-coding genes. The alleles can be ordered from the Zebrafish International Resource Center (ZIRC) and/or European Zebrafish Resource Center (EZRC). More information is available in "A systematic genome-wide analysis of zebrafish protein-coding gene function".

Zebrafish developmental baseline

3D PCA of zebrafish developmental baseline
https://www.ebi.ac.uk/gxa/experiments/E-ERAD-475

We have produced an mRNA expression time course of zebrafish development across 18 time points from 1 cell to 5 days post-fertilisation. To make this dataset generally useful, the data can be browsed and downloaded at Expression Atlas and Ensembl. More information is available in "A high-resolution mRNA expression time course of embryonic development in zebrafish".

Bioinformatics and functional genomics in zebrafish

Bioinformatics and functional genomics in zebrafish
https://www.ebi.ac.uk/training/events/bioinformatics-and-functional-genomics-zebrafish-2022/

Since 2019 our group has been running a bioinformatics and functional genomics course in collaboration with EMBL-EBI and a range of data providers. The aim is to teach researchers how to carry out functional analysis and data visualisation of zebrafish RNA-seq data. All the material for the course is available on the EMBL-EBI website and all of our materials and data for the 2022 iteration are available from https://funcgen2022.buschlab.org/.

Baseline CompaRe

Baseline CompaRe count plot
https://www.sanger.ac.uk/science/tools/dmdd/dmdd/

Baseline CompaRe is an R Shiny app designed to help with the analysis of E8.5-10.5 mouse transcriptomic data, particularly in cases where the embryos of interest are developmentally delayed. We have produced RNA-seq data for wild-type embryos for stages from 4 to 36 somites to form a baseline for comparison to experimental samples. This allows us to prioritise genes that are more likely to be differentially expressed due to the condition of interest, rather than due to developmental delay.