Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Microtubule Associated Proteins (MAPs)

Microtubule Associated Proteins (MAPs)

Microtubule function and architecture are regulated by an array of specialized proteins called microtubule-associated proteins or MAPs. These proteins are widespread across different organisms and have conserved protein motifs, like the multi-TOG domain for tubulin binding found in the CLASP family of MAPs. Some MAPs are lineage-specific based on their conserved domains. Their functions depend upon the cytoskeletal architecture and cell type they are located within. In-plant cells, a specific...

Streamlines, Streaklines, and Pathlines

Streamlines, Streaklines, and Pathlines

A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...

You might also read

Related Articles

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

Sort by

Same author

Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2026

Same author

Lineage-specific variation and molecular evolution in the rice landrace Thavalakannan: an in silico framework for identifying candidate flood resilience-associated variants.

Planta·2026

Same author

Evolutionary structure constrains genomic prediction accuracy more than model complexity in mango (Mangifera indica L.).

G3 (Bethesda, Md.)·2026

Same author

Strategic global data integration to improve genomic prediction accuracy in tree breeding programs facing resource limitations, a case study in mango.

Horticulture research·2026

Same author

Large scale wheat data integration improves genomic prediction accuracy with the potential to facilitate international breeding collaborations.

Communications biology·2026

Same author

Towards holistic phenotype prediction beyond genotypic data.

Journal of experimental botany·2026

Search research articles

Related Experiment Video

Updated: Nov 29, 2025

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

SimpleMap: A Pipeline to Streamline High-Density Linkage Map Construction.

Abdulqader Jighly^1,2,3, Reem Joukhadar⁴, Manickavelu Alagu⁵

¹The International Center for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 5466, Aleppo, Syria.

The Plant Genome

|November 24, 2020

Summary

SimpleMap, a new Perl pipeline, accelerates genetic linkage mapping for high-throughput genotyping data. This tool significantly reduces computational time for analyzing large marker datasets, improving efficiency in plant breeding and genetics research.

More Related Videos

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

Related Experiment Videos

Last Updated: Nov 29, 2025

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps

Published on: February 9, 2017

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

Area of Science:

Genetics and Bioinformatics
Computational Biology
Plant Breeding

Background:

High-throughput genotyping necessitates advanced statistical methods for large-scale genetic data analysis.
Existing linkage mapping software is often slow and has limitations on the number of markers per linkage group.

Purpose of the Study:

To introduce SimpleMap, a Perl pipeline designed to enhance the speed and efficiency of genetic linkage mapping.
To address the computational challenges posed by large datasets in modern genetic research.

Main Methods:

SimpleMap filters markers by identifying pairs with recombinants exceeding a user-defined repulsion threshold.
It maps a reduced marker subset using external tools and then integrates remaining markers.
The pipeline was evaluated on wheat (Triticum aestivum L.) linkage groups from two crosses.

Main Results:

Computational time for linkage mapping was reduced from approximately 8 hours to 8 minutes for 13 out of 15 wheat linkage groups.
SimpleMap enabled the mapping of two previously unmappable linkage groups.
Analysis with a 1 cM repulsion threshold allowed for mapping comparable to standard personal computer capabilities.

Conclusions:

SimpleMap offers a substantial improvement in time efficiency for genetic linkage map construction.
The tool effectively handles large marker datasets, making complex genetic analyses more accessible.
SimpleMap is a valuable resource for researchers working with high-throughput genotyping data in plant genetics.