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

Genetics of Speciation

Genetics of Speciation

Speciation is the evolutionary process resulting in the formation of new, distinct species—groups of reproductively isolated populations.

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for k_a Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...

Applications of Molecular Taxonomy

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...

Phylogenetic Trees

Phylogenetic Trees

Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.

Phylogenetic Trees

Phylogenetic Trees

Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.

Pharmacokinetic Models: Comparison and Selection Criterion

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.

You might also read

Related Articles

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

Sort by

Same author

Improving data and knowledge management to better integrate health care and research.

Journal of internal medicine·2013

Same author

Long noncoding RNAs as enhancers of gene expression.

Cold Spring Harbor symposia on quantitative biology·2011

Same author

Selenoprofiles: profile-based scanning of eukaryotic genome sequences for selenoprotein genes.

Bioinformatics (Oxford, England)·2010

Same author

Performance of a new invariants method on homogeneous and nonhomogeneous quartet trees.

Molecular biology and evolution·2006

Same author

Exon structure conservation despite low sequence similarity: a relic of dramatic events in evolution?

The EMBO journal·2001

Same author

SGP-1: prediction and validation of homologous genes based on sequence alignments.

Genome research·2001

Search research articles

Related Experiment Video

Updated: May 28, 2026

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

SPIn: model selection for phylogenetic mixtures via linear invariants.

A M Kedzierska¹, M Drton, R Guigó

¹Bioinformatics and Genomics Group, Centre for Genomic Regulation (CRG) and UPF, Barcelona, Catalonia, Spain.

Molecular Biology and Evolution

|October 20, 2011

Summary

This summary is machine-generated.

A new method called SPIn (model Selection in Phylogenetics based on linear INvariants) accurately identifies evolutionary models for complex genetic data. This approach improves phylogenetic inference by not requiring an input tree and handling non-homogeneous data effectively.

More Related Videos

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

Related Experiment Videos

Last Updated: May 28, 2026

A Practical Guide to Phylogenetics for Nonexperts

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles

Published on: July 11, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

Area of Science:

Evolutionary biology
Computational biology
Bioinformatics

Background:

Phylogenetic inference relies on evolutionary models to describe substitution processes.
Model misspecification can significantly impact phylogenetic analysis.
Current model selection often uses heuristics or requires an approximate input tree.

Purpose of the Study:

Introduce a novel method, SPIn (model Selection in Phylogenetics based on linear INvariants), for selecting evolutionary models.
Develop a tree-independent method for phylogenetic model selection.
Address challenges in analyzing non-homogeneous phylogenetic data.

Main Methods:

Utilizes recent insights on linear invariants to characterize nucleotide evolution models.
Applies constraints among joint probabilities of bases, independent of tree topology.
Designed to handle phylogenetic mixtures with multiple components and non-homogeneous data.

Main Results:

SPIn successfully recovers underlying evolutionary models in simulations.
The method demonstrates superior performance compared to existing approaches.
Evaluated on simulated data under various single-tree and mixture settings for continuous- and discrete-time models.

Conclusions:

SPIn offers a robust and accurate method for phylogenetic model selection.
The tree-independent nature of SPIn simplifies phylogenetic analysis.
SPIn is effective for analyzing complex, non-homogeneous phylogenetic data, including concatenated genes and exons/introns.