Data

We use figshare for sharing data. All our data is collected here.

⊕ Data for: Harnqvist et al. (2020) Variables Influencing Differences in Sequence Conservation in the Fission Yeast Schizosaccharomyces pombe. J Mol Evol. 2021. doi:10.1007/s00239-021-10028-y is here. 

⊕ Data for: Grech et al.  (2019). Fitness Landscape of the Fission Yeast Genome. Molecular Biology and Evolution 36(8): 1612-1623 doi:10.1093/molbev/msz113. is here

⊕ Data for:  A Leishmania infantum genetic marker associated with miltefosine treatment failure for visceral leishmaniasis. EBioMedicine. 2018 Sep 26.
doi: 10.1016/j.ebiom.2018.09.029: Reads on SRA | abstract

⊕ Fission yeast strains
The majority of the wild strains used for the Nature Genetics and Nature Communications papers are available at the National BioResource Project (NBRP) in Japan, which can be searched here. Some are not yet, or have different names, see this file
All short read sequencing data: is available for download on ENA is here.

⊕ Data for: Transient structural variations have strong effects on quantitative traits and reproductive isolation in fission yeast.Nature Communications 24;8:14061 DOI:10.1038/ncomms14061 is on figshare here. The microarray gene expression data we generated is on ArrayExpress is here.

⊕  Data for: The natural diversity and ecology of fission yeast. Yeast doi:10.1002/yea.3293
Data on figshare

⊕ Data for: A beginners guide to estimating the non-synonymous to synonymous rate ratio of all protein-coding genes in a genome. Methods Mol. Biol. 2015:1201:65-90.
Data on figshare

⊕ Data for: The genomic and phenotypic diversity of Schizosaccharomyces pombe. Nature Genetics 47(3):235-241.
Data on figshareincluding SNPs and indels are available are available in VCF format, de novo assemblies, data on spore viability, genetic & geographic distances, and all supplementary tables from the published article.  Read data: is on the European Nucleotide Archive (ENA) here.

⊕ Spotsizer: High throughput quantitative analysis of microbial growth. Spotsizer is a software tool for collecting high throughput measurements of microbial colony size in arrays of different densities. Spotsizer software for Windows, Mac and linux is available here.