ArticleEngineering in life sciences2022
bletl - A Python package for integrating BioLector microcultivation devices in the Design-Build-Test-Learn cycle.
Article in Engineering in life sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- ALE reveals a surprising link between [Fe-S] cluster formation, tryptophan biosynthesis and the potential regulatory protein TrpP in Corynebacterium glutamicum.BMC microbiology · 2025Article
- Optimizing recombinant mini proinsulin production via response surface method and microbioreactor screening.PloS one · 2025Article
- Biosensor-based growth-coupling as an evolutionary strategy to improve heme export in Corynebacterium glutamicum.Microbial cell factories · 2024Article
- gcplyr: an R package for microbial growth curve data analysis.BMC bioinformatics · 2024Article
- Optimizing microbioreactor cultivation strategies for Trichoderma reesei: from batch to fed-batch operations.Microbial cell factories · 2024Article
- Digitalization concepts in academic bioprocess development.Engineering in life sciences · 2024Review
- Automated workflow for characterization of bacteriocin production in natural producers Lactococcus lactis and Latilactobacillus sakei.Microbial cell factories · 2024Article
- "High-throughput screening of catalytically active inclusion bodies using laboratory automation and Bayesian optimization".Microbial cell factories · 2024Article
- Itaconate Production from Crude Substrates with U. maydis: Scale-up of an Industrially Relevant Bioprocess.Microbial cell factories · 2024Article
- Parsley: a web app for parsing data from plate readers.Bioinformatics (Oxford, England) · 2023Article
- Robotic workflows for automated long-term adaptive laboratory evolution: improving ethanol utilization by Corynebacterium glutamicum.Microbial cell factories · 2023Article
- From frozen cell bank to product assay: high-throughput strain characterisation for autonomous Design-Build-Test-Learn cycles.Microbial cell factories · 2023Article
- Discovery of novel amino acid production traits by evolution of synthetic co-cultures.Microbial cell factories · 2023Article
- Control of parallelized bioreactors II: probabilistic quantification of carboxylic acid reductase activity for bioprocess optimization.Bioprocess and biosystems engineering · 2022Article
- Accelerated strain construction and characterization of C. glutamicum protein secretion by laboratory automation.Applied microbiology and biotechnology · 2022Article
- Bayesian calibration, process modeling and uncertainty quantification in biotechnology.PLoS computational biology · 2022Article
- bletl - A Python package for integrating BioLector microcultivation devices in the Design-Build-Test-Learn cycle.Engineering in life sciences · 2022Article
- Insights into the morphology-productivity relationship of filamentous fungi through small-scale cultivation and automated microscopy of Thermothelomyces thermophilus.Biotechnology progressArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbioreactor (MBR) devices have emerged as powerful cultivation tools for tasks of microbial phenotyping and bioprocess characterization and provide a wealth of online process data in a highly parallelized manner. Such datasets are difficult to interpret in short time by manual workflows. In this study, we present the Python package bletl and show how it enables robust data analyses and the application of machine learning techniques without tedious data parsing and preprocessing. bletl reads raw result files from BioLector I, II and Pro devices to make all the contained information available to Python-based data analysis workflows. Together with standard tooling from the Python scientific computing ecosystem, interactive visualizations and spline-based derivative calculations can be performed. Additionally, we present a new method for unbiased quantification of time-variable specific growth rate
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.