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remove filtering for pTIC
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quantmsutils/mzml/ms1_feature_finder.py

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previous algorithm by Andy Lim https://github.com/bmx8177/MS1Connect
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published in https://doi.org/10.1093/bioinformatics/btad058.
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We improved the original algorithm by using FeatureFinderMultiplexAlgorithm instead of FeatureFinder as originally
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implemented by Andy Lim. Also, we annotated additional features such as min and max retention time and mz values.
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This algorithm is used to detect MS1 features from mzML files and save them to parquet format.
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We improved the original algorithm with the following ideas:
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- Using FeatureFinderMultiplexAlgorithm instead of FeatureFinder as originally implemented by Andy Lim. This will provide
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a more robust way to perform FeatureFinding.
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- Remove the filtering of percentile TIC for features, we leave this step to future consuming tools of the data to perform
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extra curation of the features based on percentile_tic, or quality of the feature, etc.
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- We annotated additional features such as min and max retention time and mz values.
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- This algorithm is used to detect MS1 features from mzML files and save them to parquet format.
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"""
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import bisect

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