New functions and bug fixes since version 2.0 release

[Mathias Lorieux [MapDisto]]

              *** MapDisto 2 for Windows change log ***

Current version: v. 2.1.3

Download site: http://mapdisto.free.fr/Download_Soft/

Direct download link: MapDisto 2.1 (Windows 10, Excel 2019).zip

This version is for Windows computers running Excel 2019

Compatibility: Excel 2019 (32-bit and 64-bit). Should run fine with previous Excel versions (2007 - 2016). Windows 7 and 10.

To handle very big datasets, you will need the 64-bit versions of both Excel AND Windows.

* Known issues: *

- Commands associated with the 'Compute RF & LOD' box of the R/qtl interface aren’t available in this version. However, they are advantageously replaced by the MapDisto Addons Java module accessible from the 'Data' window

*** Changes in this update ***

- metaQTL analysis now calculates Fisher’s test over all sub-populations, additional to Sum(F) and Sum(-log10p). (F2s not yet implemented)

- Faster final step of meta-QTL analysis (except for F2s)

- Hidden procedure to create centered or centered-normalized data

- 'Store data' and 'Use these data' now correctly store all genotype names when Big data is activated

- 'Store data' and 'Use these data' now correctly store traits when Big data is activated

- 'Show stored data' now works as expected after running 'Use these data' from a stored dataset

- 'Draw a linkage group' can no longer use the ’Draw uniloci only' option when 'Alternate style' checkbox is unchecked

*** Changes in v. 2.1.2 ***

- Extended meta-QTL analysis to backcross, RIL-SSD and doubled haploid populations

- Plot QTLs now available for meta-QTL analysis

- Corrected a bug in QTL and meta-QTL analysis for F2 populations (k2 was incorrectly calculated, leading to a slightly underestimated p-value)

*** Changes in v. 2.1.1 ***

- meta-QTL analysis now works for the "All linkage groups" option

- "Draw QTLs" from the meta-QTL window now works

*** Changes in v. 2.1.0 ***

This update concerns the R/qtl interface. The following functions are now activated:

- 'Export genotype data to R/qtl'

- 'Impute data in R/qtl' (uses R/qtl argmax procedure to impute and correct data)

- 'Import imputed data'