Welcome to the bletl documentation!

bletl is a Python package for parsing and analyzing microbioreactor datasets, primarily from the BioLector system.

You can download the latest version from GitHub or install it via pip install bletl.

In the following chapters, we introduce the data structures and analysis features.

Go and take a look to accelerate your BioLector data analysis!

Examples

• Quickstart: Parsing and Plotting
  • Parsing
  • Metadata
  • Accessing and Visualizing Measurements
• Quickstart: Working with Narrow Data
  • Parse the raw data file
  • Get narrow data
  • A quick plot using seaborn
  • Replicate condensation using seaborn
• Quickstart: Spline Derivatives
  • Parse the raw data file
  • Plot the data of interest
• Quickstart: Bayesian Analysis of time-Variable Growth Rate
  • The Data
  • Fitting
  • Supplementary Explanations
• Quickstart: Timeseries Feature Extraction
  • Parse the raw data file
  • Feature Extraction

You can find autogenerated API documentation below:

API Reference

• bletl Core API
  • get_parser()
  • parse()
  • BLDParser
  • BLData
  • BioLectorModel
  • FilterTimeSeries
  • FluidicsSource
  • IncompatibleFileError
  • InvalidLotNumberError
  • LotInformationError
  • LotInformationMismatch
  • LotInformationNotFound
  • NoMeasurementData
• bletl.features
  • BSFeatureExtractor
  • DOFeatureExtractor
  • Extractor
  • StatisticalFeatureExtractor
  • TSFreshExtractor
  • from_bldata()
  • pHFeatureExtractor
• bletl.growth
• bletl.heuristics
  • find_do_peak()
• bletl.splines
  • UnivariateCubicSmoothingSpline
  • get_crossvalidated_spline()
  • get_mue()
  • get_multiple_splines()
• bletl.utils
  • download_calibration_data()