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

Combinatorial Gene Control

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Lagrange Multipliers: One Constraint

Lagrange Multipliers: One Constraint

In constrained optimization, the objective is to maximize or minimize a quantity while satisfying a fixed condition. A standard example is a rectangular pen built against a barn wall using 100 meters of fencing. Because the wall provides one side of the enclosure, only the other three sides require fencing. The problem is to find the dimensions that produce the greatest possible area.Let L represent the length parallel to the wall and W the width perpendicular to it. The area of the pen is A =...

You might also read

Related Articles

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

Sort by

Same author

Heavy-chain immune repertoire sequencing enables language-model prediction of antigen-specific antibodies.

Research square·2026

Same author

Comparative structural analysis of protein complexes with SPICE.

Nucleic acids research·2026

Same author

Feasibility of identifying factors related to Alzheimer's disease and related dementia in real-world data.

JAMIA open·2026

Same author

Evaluating the Completeness of Thyroid Nodule Ultrasound Reporting Using Natural Language Processing.

Endocrine·2026

Same author

CDT1 and E2F1 synergistically promote the glycolysis and progression of non-small cell lung cancer through the TPX2/AKT pathway.

European journal of pharmacology·2026

Same author

A study of large language models for patient information extraction: Model architecture, fine-tuning strategy, and multi-task instruction tuning.

Journal of biomedical informatics·2026

Same journal

circ2DGNN: circRNA-Disease Association Prediction via Transformer-Based Graph Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics·2024

Same journal

Hierarchical Hypergraph Learning in Association- Weighted Heterogeneous Network for miRNA- Disease Association Identification.

IEEE/ACM transactions on computational biology and bioinformatics·2024

Same journal

Discriminative Domain Adaption Network for Simultaneously Removing Batch Effects and Annotating Cell Types in Single-Cell RNA-Seq.

IEEE/ACM transactions on computational biology and bioinformatics·2024

Same journal

MLW-BFECF: A Multi-Weighted Dynamic Cascade Forest Based on Bilinear Feature Extraction for Predicting the Stage of Kidney Renal Clear Cell Carcinoma on Multi-Modal Gene Data.

IEEE/ACM transactions on computational biology and bioinformatics·2024

Same journal

An End-to-End Knowledge Graph Fused Graph Neural Network for Accurate Protein-Protein Interactions Prediction.

IEEE/ACM transactions on computational biology and bioinformatics·2024

Same journal

Generative Biomedical Event Extraction With Constrained Decoding Strategy.

IEEE/ACM transactions on computational biology and bioinformatics·2024

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 13, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Accurate construction of consensus genetic maps via integer linear programming.

Yonghui Wu¹, Timothy J Close, Stefano Lonardi

¹Google, Inc., 1600 Amphitheatre Parkway, Mountain View, CA 94043, USA. yonghui@google.com

IEEE/ACM Transactions on Computational Biology and Bioinformatics

|May 19, 2010

Summary

This summary is machine-generated.

This study presents MERGEMAP, a novel tool for merging genetic maps represented as directed acyclic graphs. MERGEMAP resolves ordering conflicts efficiently, outperforming existing methods in accuracy and speed.

More Related Videos

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector

Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector

Published on: March 28, 2018

Related Experiment Videos

Last Updated: Jun 13, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector

Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector

Published on: March 28, 2018

Area of Science:

Genetics
Bioinformatics
Computational Biology

Background:

Genetic maps are crucial for understanding genome organization.
Merging individual genetic maps into a consensus map is computationally challenging.
Existing methods struggle with ordering conflicts and errors in input maps.

Purpose of the Study:

To develop a computational method for merging genetic maps with conflicting marker orders.
To address errors like local reshuffles and global displacements in genetic maps.
To create a parsimonious approach for building accurate consensus genetic maps.

Main Methods:

Formulating the cycle resolution problem as an integer linear program.
Developing a fast approximation algorithm and a speedup heuristic.
Implementing the algorithms in the MERGEMAP software tool.

Main Results:

MERGEMAP effectively resolves cycles in consensus genetic maps.
The tool accounts for local reshuffles and global displacements.
Extensive experiments demonstrate MERGEMAP's superior accuracy and speed compared to JOINMAP.

Conclusions:

MERGEMAP provides a robust and efficient solution for genetic map merging.
The software tool offers significant advantages over current popular tools.
MERGEMAP is freely available for academic research, advancing genomic studies.