Essays about: "high throughput phenotyping"

Found 3 essays containing the words high throughput phenotyping.

  1. 1. Advanced Detection Methods of Genomic Barcodes for Genotyping Escherichia coli Libraries

    University essay from Uppsala universitet/Institutionen för cell- och molekylärbiologiUppsala universitet/Institutionen för biologisk grundutbildning

    Author : Nicole Eger; [2021]
    Keywords : Genotyping; Genomic barcodes; LAMP; PNA; RCA; FISH;

    Abstract : Pooled cell strain libraries are a powerful tool allowing to investigate the influence of genetic modifications on phenotypes in high throughput single-cell assays. To link the genotype to phenotype in each cell of the library, unique 20 base pairs (bp) long barcodes are used to allow in situ genotyping after phenotyping via fluorescence microscopy. READ MORE

  2. 2. Characterization of cellular enzymatic activity through functional single cell analysis using DropMap

    University essay from Lunds universitet/Institutionen för immunteknologi

    Author : Linnea Gidner; [2020]
    Keywords : Single-cell analysis; enzymatic activity; cell heterogeneity; Biology and Life Sciences;

    Abstract : Assuming normal distribution within cell populations has long been status quo in cellular research. With the fast development of techniques, numerous examples of heterogeneites within isogenic cultures have been unveiled, demonstrating the need of single cell analysis. READ MORE

  3. 3. PlantSpec : an R package for interactive analysis of spectral data for highthroughput plant phenotyping

    University essay from SLU/Department of Plant Breeding (from 130101)

    Author : Alexander Koc; [2017]
    Keywords : hyperspectral data; high throughput phenotyping; R programming; bioinformatics;

    Abstract : Hyperspectral phenotyping is a promising high-throughput plant phenotyping method that addresses the phenotyping bottleneck, in fields of plant science like crop improvement or study of plant diseases. However, high-throughput hyperspectral data poses a data management and analysis problem due to the sheer volume of data generated in the data collection process. READ MORE