Loading [MathJax]/extensions/TeX/cancel.js
Skip to main content
Library homepage
 

Text Color

Text Size

 

Margin Size

 

Font Type

Enable Dyslexic Font
Biology LibreTexts

Search

  • Filter Results
  • Location
  • Classification
    • Article type
    • Author
    • Embed NoteBene
    • Cover Page
    • License
    • Show TOC
    • Transcluded
    • Annotation System
    • Number of Print Columns
    • PrintOptions
    • Print CSS
    • OER program or Publisher
    • Autonumber Section Headings
    • License Version
  • Include attachments
Searching in
About 2 results
  • https://bio.libretexts.org/Bookshelves/Introductory_and_General_Biology/Biology_(Kimball)/11%3A_Genomics/11.08%3A_Gel_Blotting
    This page discusses gel blotting, a method to visualize specific macromolecules such as proteins and DNA/RNA through electrophoresis and transfer onto a nitrocellulose filter. The Southern Blot, creat...This page discusses gel blotting, a method to visualize specific macromolecules such as proteins and DNA/RNA through electrophoresis and transfer onto a nitrocellulose filter. The Southern Blot, created by E. M. Southern, identifies DNA fragments using radiolabeled probes. Analogous techniques for RNA and proteins are known as Northern and Western blots, employing similar procedures for detection.
  • https://bio.libretexts.org/Bookshelves/Agriculture_and_Horticulture/Quantitative_Methods_for_Plant_Breeding_(Suza_and_Lamkey)/01%3A_Chapters/1.15%3A_Multivariate_Analysis
    This page covers multivariate data analysis, emphasizing grouping, variable interactions, similarity measures, and dataset simplification using R. It discusses dissimilarity coefficients for categoric...This page covers multivariate data analysis, emphasizing grouping, variable interactions, similarity measures, and dataset simplification using R. It discusses dissimilarity coefficients for categorical and quantitative data, data cleaning for statistical analysis, and clustering methods like k-means and hierarchical clustering. Principal Component Analysis (PCA) is highlighted for dimensionality reduction, with over 96% variance explained by three components.

Support Center

How can we help?