Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Polygenic Traits01:18

Polygenic Traits

When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
Polygenic Traits01:18

Polygenic Traits

When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
X-linked Traits01:19

X-linked Traits

In most mammalian species, females have two X sex chromosomes and males have an X and Y. As a result, mutations on the X chromosome in females may be masked by the presence of a normal allele on the second X. In contrast, a mutation on the X chromosome in males more often causes observable biological defects, as there is no normal X to compensate. Trait variations arising from mutations on the X chromosome are called “X-linked”.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Provenance legacies override species effects in shaping oak rhizosphere microbiomes and metabolomes.

The New phytologist·2026
Same author

Evolution and consequences of paternal inheritance of plastid DNA in conifers.

Journal of evolutionary biology·2026
Same author

The power and limits of predicting inter-protein exon-exon interactions using protein 3D structures.

Bioinformatics advances·2026
Same author

ActivityFinder: Toward the Fully Automatic Integration of Structural and Binding Affinity Data.

Journal of chemical information and modeling·2026
Same author

Modulation of the leaf transcriptome of Quercus robur by specialist and generalist herbivorous insects.

Tree physiology·2025
Same author

OmixLitMiner 2: Guided Literature Mining for Automated Categorization of Marker Candidates in Omics Studies.

Proteomics·2025
Same journal

The complete sequence of the silkworm W chromosome uncovers its rapid evolution by large-scale duplications/deletions and translocation of W-linked genes.

G3 (Bethesda, Md.)·2026
Same journal

Revisiting the genome assembly of Lupinus species reveals differential diploidization after a shared whole-genome duplication.

G3 (Bethesda, Md.)·2026
Same journal

Deconstructing empirical fitness seascapes across scales of granularity.

G3 (Bethesda, Md.)·2026
Same journal

Genomes of Conopholis americana and Epifagus virginiana: Two holoparasitic plants (Orobanchaceae).

G3 (Bethesda, Md.)·2026
Same journal

"A chromosome-level reference genome for the colonial marine hydrozoan Podocoryna americana".

G3 (Bethesda, Md.)·2026
Same journal

Mating strategies in Caenorhabditis elegans populations are determined by male developmental history.

G3 (Bethesda, Md.)·2026
See all related articles

Related Experiment Video

Updated: Jun 17, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

BiTUGA: scalable prevalence-based unitig association testing for binary traits.

Jannes Mittelbach1, Birgit Kersten2, Stefan Kurtz1

  • 1Center for Bioinformatics, MIN-Faculty, University of Hamburg, 22761 Hamburg, Germany.

G3 (Bethesda, Md.)
|June 15, 2026
PubMed
Summary
This summary is machine-generated.

BiTUGA is a new pipeline for genetic association studies in large genomes. It efficiently identifies sex-associated regions by analyzing k-mer prevalence, overcoming computational challenges.

Keywords:
alignment-freegenome-wide association studiesk-mersplant genomicssex determination

More Related Videos

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

A Scalable, Cell-Based Method for the Functional Assessment of Ube3a Variants
06:35

A Scalable, Cell-Based Method for the Functional Assessment of Ube3a Variants

Published on: October 10, 2022

Related Experiment Videos

Last Updated: Jun 17, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Infinium Assay for Large-scale SNP Genotyping Applications
13:33

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

A Scalable, Cell-Based Method for the Functional Assessment of Ube3a Variants
06:35

A Scalable, Cell-Based Method for the Functional Assessment of Ube3a Variants

Published on: October 10, 2022

Area of Science:

  • Genomics
  • Bioinformatics
  • Population Genetics

Background:

  • Sequence-based association studies face challenges in large, repetitive genomes.
  • Reference-free k-mer methods are powerful but computationally intensive due to large matrices.
  • Existing tools struggle with the scale of modern genomic datasets.

Purpose of the Study:

  • To introduce BiTUGA, a novel bioinformatics pipeline for sequence-based association testing in large genomes.
  • To overcome computational bottlenecks associated with k-mer analysis in repetitive genomes.
  • To enable efficient analysis of discrete binary traits, such as sex determination.

Main Methods:

  • BiTUGA utilizes a reference-free k-mer approach, focusing on unitig presence across sample groups.
  • It shifts statistical analysis from raw k-mer abundance to group-level prevalence.
  • The pipeline was validated using the binary trait of sex in plant species.

Main Results:

  • BiTUGA successfully identified sex-associated unitigs in Populus tremula and Ginkgo biloba.
  • The pipeline detected known Sex-Determining Regions (SDRs) in these species.
  • BiTUGA processed large datasets (up to 750 Gbp) efficiently within 14-25 hours and 70 GB RAM.

Conclusions:

  • BiTUGA offers an efficient and scalable solution for association studies in large genomes.
  • The pipeline effectively identifies genetic regions associated with binary traits, like sex determination.
  • BiTUGA provides a valuable tool for exploring complex genomic regions in various species.