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Going to simplify the code next
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Wrote function in dataset.py that gets all the traits in a dataset
and their sample values
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make the results easier to navigate
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Code that processes subset of snps works, in process of
putting into a class
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Added server port to configuration file
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statements
Continued work on file that processes each individual chunk of the snp iterator/plink input
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and writes/reads eachitem in the plink_input
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Reverted temp_data.py to previous version that doesn't include
the "part" input (for chunks)
Made change to lmm related to splitting main iterator into chunks
Deleted a bunch of unnecessary commented out code from show_trait.py
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we might decide to store it differently
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for HLC datasets
Still need to read in file
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chunks algorithms' accuracy/speed
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list into a given number of chunks
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that caused one too many chunks to be created
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(to be used on the list of snps for the LMM code)
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lmm.py into a separate function
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Edited generate_probesetfreeze_file.py to try running it on the dataset
with incorrect regression lines
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Fixed a couple bugs with quick_search_table.py
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Added option to limit results based on lod score (which also
changes the y-axis of the plot)
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and the code seems to run correctly
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504 gateway timeout issue with the human datasets
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but with only BXD strains
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a human dataset and json data if any other species
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and code that runs it with json
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table, but will need to check later to make sure
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