v0.2.4

• Removes most of the malariagen_data functionality, as that requires google cloud auth now. Instead we load gffs directly from VectorBase
• Support for python 3.11

What's Changed

• remove ag3() by @sanjaynagi in #59

Full Changelog: v0.2.3...v0.2.4

v0.2.3

What's Changed

• Implement an NaN filter within xpress.data(), and GSEA custom gene lists by @sanjaynagi in #51
• Allow mixing of PFAM and Go terms to select genes by @sanjaynagi in #52
• add missing coeae1f name by @sanjaynagi in #55
• allow file input to gsea, filter_low_counts + sample_query by @sanjaynagi in #57

Full Changelog: v0.2.0...v0.2.3

v0.2.0

This release now contains the R colab notebook for the differential expression meta-analysis, meaning that all steps of the meta-analysis are now performable from Colab from the original count data.

Also:

• Support for selecting genes by genome span #49

v0.1.8

• improved heatmap function #48
• improved pca notebook #48
• Fix for GRNs
• logo update #47
• plot_gene_expression() uses 'simple_white' plotly template #47
• GWES now uses 'webgl' backend for speed #46

v0.1.7

• Release for zenodo so that AnoExpress can be cited prior to the manuscript.
• No changes since v0.1.6

v0.1.6

• Results arrays now standardised (Only contain GeneID, not Name or Description), which is added to data from a separate file - resources/AgamP4.annots.tsv

• Adds support for filtering by pvalue

• Genome-wide expression scans implementation

v0.1.4

• adds support for kegg pathway enrichment analysis

v0.1.3

Adds support for python 3.10 and 3.11

v0.1.2

Full Changelog: v0.1.1...v0.1.2

v0.1.1

Merge pull request #26 from sanjaynagi/sort-by-position-09-03-23

sort by position, metadata(), species_query() tidying