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Upstream processing represents a critical phase in biomanufacturing, wherein biological systems such as microorganisms, mammalian cells, or insect cells are cultivated to produce therapeutic proteins, vaccines, enzymes, or other biologically derived products. This phase encompasses all steps from the selection and genetic manipulation of the production organism to the cultivation of cells in bioreactors under tightly controlled environmental conditions.Host Selection and Genetic OptimizationThe...
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LotuS: an efficient and user-friendly OTU processing pipeline.

Falk Hildebrand1,2,3, Raul Tadeo1,2,4,5, Anita Yvonne Voigt3,6

  • 1Department of Structural Biology, Vlaams Instituut voor Biotechnologie (VIB), Pleinlaan 2, Brussels, 1050, Belgium.

Microbiome
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Summary
This summary is machine-generated.

Introducing LotuS, a new bioinformatics tool for analyzing 16S ribosomal DNA (rDNA) data. LotuS significantly speeds up the processing of bacterial community structures, offering efficient denoising and phylogenetic reconstruction for metagenomic datasets.

Keywords:
16S rDNA geneDemultiplexingMetagenomicsOTUPipeline

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • 16S ribosomal DNA (rDNA) amplicon sequencing is crucial for bacterial community analysis.
  • Computational bottlenecks and technical complexity hinder current metagenomic data analysis.
  • Efficient analysis of large-scale microbial datasets remains a significant challenge.

Purpose of the Study:

  • To introduce LotuS, a novel, user-friendly, open-source bioinformatics tool.
  • To address the computational limitations in analyzing 16S rDNA amplicon sequencing data.
  • To provide a faster and more efficient pipeline for generating taxonomic abundance tables and phylogenetic trees.

Main Methods:

  • Development of the Less Operational Taxonomic Units Scripts (LotuS) pipeline.
  • Integration of a fast C++ based demultiplexer and quality filter (sdm).
  • Validation using 40 technical replicates from two Illumina MiSeq runs.

Main Results:

  • LotuS achieves processing speeds up to two orders of magnitude faster than existing pipelines.
  • The tool provides denoised, chimera-checked operational taxonomic units (OTUs).
  • Comparable or superior results in microbial 16S data analysis compared to current methods.

Conclusions:

  • LotuS offers a state-of-the-art solution for 16S rDNA data analysis, significantly reducing execution time.
  • The tool enhances efficiency and accessibility for researchers in microbial ecology and related fields.
  • LotuS is available as an open-source tool to facilitate wider adoption and further development.