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updated minor edits #150

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Merged
alex-sandercock merged 5 commits into from
Feb 19, 2026
Merged

updated minor edits #150

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04e80e2
Merge pull request #145 from Breeding-Insight/development
alex-sandercock Sep 23, 2025
eb8741a
Update README.md
alex-sandercock Jan 10, 2026
29903b9
Increase maximum upload size to 1000GB
alex-sandercock Feb 10, 2026
e172043
updated dosage tests
alex-sandercock Feb 17, 2026
628d5fe
Merge branch 'development' into main
alex-sandercock Feb 19, 2026
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2 changes: 1 addition & 1 deletion R/app_server.R
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Expand Up @@ -10,7 +10,7 @@ app_server <- function(input, output, session) {
# Your application server logic

##Add server configurations
options(shiny.maxRequestSize = 10000 * 1024^2) # Set maximum upload size to 10GB
options(shiny.maxRequestSize = 1000000 * 1024^2) # Set maximum upload size to 1000GB
#shiny.maxRequestSize = 10000 * 1024^2; # 10 GB <- This is for a future limit when using BI's server remotely

callModule(mod_DosageCall_server,
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -133,7 +133,7 @@ BIGapp leverages a powerful suite of R packages:

## Funding

BIGapp development is supported by [Breeding Insight](https://www.breedinginsight.org/), a USDA-funded initiative based at Cornell University.
BIGapp development is supported by [Breeding Insight](https://www.breedinginsight.org/), a USDA-funded initiative based at University of Florida - IFAS.

## Citation

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12 changes: 6 additions & 6 deletions tests/testthat/test-DosageCall.R
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Expand Up @@ -29,8 +29,8 @@ test_that("Dosage Calling from MADC file",{
model = model_select,
nc = cores)

expect_equal(sum(mout$snpdf$bias), 412.6139, tolerance = 0.01)
expect_equal(sum(mout$inddf$postmean), 95233.1, tolerance = 0.01)
expect_equal(sum(mout$snpdf$bias), 413, tolerance = 0.5)
expect_equal(sum(mout$inddf$postmean), 95229.13, tolerance = 0.01)

# Convert updog to VCF
BIGr:::updog2vcf(
Expand Down Expand Up @@ -96,8 +96,8 @@ test_that("Dosage Calling from VCF file",{
model = model_select,
nc = cores)

expect_equal(sum(mout$snpdf$bias), 412.6139, tolerance = 0.01)
expect_equal(sum(mout$inddf$postmean), 95233.1, tolerance = 0.01)
expect_equal(sum(mout$snpdf$bias), 413, tolerance = 0.5)
expect_equal(sum(mout$inddf$postmean), 95229.13, tolerance = 0.01)

# Convert updog to VCF
BIGr::updog2vcf(
Expand Down Expand Up @@ -221,8 +221,8 @@ test_that("Dosage Calling from VCF file f1 and s1 model",{
model = input$updog_model,
nc = cores)

expect_equal(sum(mout$snpdf$bias), 440.109, tolerance = 0.01)
expect_equal(sum(mout$inddf$postmean), 94611.59, tolerance = 0.01)
expect_equal(sum(mout$snpdf$bias), 440, tolerance = 0.5)
expect_equal(sum(mout$inddf$postmean), 94249.05, tolerance = 0.01)

# Convert updog to VCF
BIGr::updog2vcf(
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