Loading [MathJax]/extensions/mml2jax.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 6 results
  • https://bio.libretexts.org/Courses/City_College_of_San_Francisco/Introduction_to_Genetics/11%3A_Pedigrees_and_Populations/11.02%3A_Pedigree_Analysis
    This page discusses pedigree charts, which are diagrams that show the phenotypes or genotypes of an organism and its ancestors to track genetic diseases within families. They utilize standardized symb...This page discusses pedigree charts, which are diagrams that show the phenotypes or genotypes of an organism and its ancestors to track genetic diseases within families. They utilize standardized symbols to represent sex, relationships, and traits, helping geneticists analyze inheritance patterns and disease probabilities. Accuracy is vital, but errors can occur from family memories or clinical diagnoses.
  • https://bio.libretexts.org/Courses/University_of_Massachusetts_Boston/Bio_252_254%3A_Genetics/19%3A_Unit_XIX_-_Genomics/19.01%3A__Omics__Technologies
    This page discusses the genome as the complete DNA set of an organism and genomics as the large-scale study of genes. It highlights advancements in technology that improve research efficiency and redu...This page discusses the genome as the complete DNA set of an organism and genomics as the large-scale study of genes. It highlights advancements in technology that improve research efficiency and reduce costs. The term –omics describes high-throughput analyses of biological molecules (transcriptomics, proteomics, metabolomics). It also notes that interpreting this data necessitates bioinformatics expertise, and integrating various –omics forms is referred to as systems biology.
  • https://bio.libretexts.org/Courses/Monterey_Peninsula_College/Marine_Biology_Laboratory/13%3A_ROV_Lab_1-_Practice_and_Mission_planning
    This page presents a research proposal for a lab focused on using Remotely Operated Vehicles (ROVs) for ocean exploration. It details team roles, ROV functions, safety measures, and operational proced...This page presents a research proposal for a lab focused on using Remotely Operated Vehicles (ROVs) for ocean exploration. It details team roles, ROV functions, safety measures, and operational procedures. Key elements include defining essential questions, hypotheses, data collection strategies, sample sizes, and analysis methods. The proposal underscores the significance of teamwork, communication, and practical ROV operation experience during fieldwork in advancing ocean science.
  • https://bio.libretexts.org/Courses/City_College_of_San_Francisco/Introduction_to_Genetics/14%3A_Genomics_and_Systems_Biology/14.01%3A__Omics__Technologies
    This page discusses the genome as the complete DNA set of an organism and genomics as the large-scale study of genes. It highlights advancements in technology that improve research efficiency and redu...This page discusses the genome as the complete DNA set of an organism and genomics as the large-scale study of genes. It highlights advancements in technology that improve research efficiency and reduce costs. The term –omics describes high-throughput analyses of biological molecules (transcriptomics, proteomics, metabolomics). It also notes that interpreting this data necessitates bioinformatics expertise, and integrating various –omics forms is referred to as systems biology.
  • 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.
  • https://bio.libretexts.org/Bookshelves/Agriculture_and_Horticulture/Quantitative_Methods_for_Plant_Breeding_(Suza_and_Lamkey)/01%3A_Chapters/1.14%3A_Nonlinear_Regression
    This page explores nonlinear relationships in agronomy, focusing on plant growth as it nears physiological limits. It emphasizes the inadequacy of linear models and the necessity of nonlinear regressi...This page explores nonlinear relationships in agronomy, focusing on plant growth as it nears physiological limits. It emphasizes the inadequacy of linear models and the necessity of nonlinear regression techniques for accurate analysis, including log transformations and various nonlinear models like monomolecular and logistic equations.

Support Center

How can we help?