Research Articles
Molecular Dynamics Simulation: A Comprehensive Guide from Fundamentals to Biomedical Applications
This article provides a comprehensive guide to Molecular Dynamics (MD) simulation, detailing its foundational principles in statistical mechanics, step-by-step methodological workflow, and practical optimization strategies.
Molecular Dynamics Explained: From Basic Principles to Advanced Applications in Drug Discovery
This article provides a comprehensive guide to Molecular Dynamics (MD) simulations, tailored for researchers, scientists, and drug development professionals.
Molecular Dynamics Demystified: A Beginner's Guide for Biomedical Researchers
This article provides a comprehensive introduction to Molecular Dynamics (MD) simulations, tailored for researchers, scientists, and professionals in drug development.
Molecular Dynamics Simulation: A Comprehensive Guide for Biomedical Research and Drug Development
This article provides a comprehensive exploration of Molecular Dynamics (MD) simulation, a computational technique that analyzes the physical movements of atoms and molecules over time.
Concatenation vs. Coalescent Models in Phylogenomics: Navigating Introgression and ILS for Accurate Species Tree Inference
This article provides a comprehensive comparison of concatenation and multispecies coalescent (MSC) approaches for phylogenetic inference, with a special focus on datasets impacted by introgression and incomplete lineage sorting (ILS).
Assessing the Power of Introgression Detection Methods: A Comparative Guide for Genomic Researchers
Accurately detecting the direction of introgression—the transfer of genetic material between species or populations—is crucial for evolutionary biology, drug target discovery, and understanding disease genetics.
Tree-Based vs. SNP-Based Introgression Tests: A Comprehensive Performance Review for Genomic Research
This article provides a systematic comparison of tree-based and SNP-based methodologies for detecting introgression, a key evolutionary process with significant implications for adaptation and disease research.
Maximum Likelihood vs. Bayesian Frameworks for Introgression Detection: A Guide for Genomic Researchers
This article provides a comprehensive comparison of Maximum Likelihood (ML) and Bayesian methods for detecting introgressed genomic regions, a critical task in evolutionary genomics and biomedical research.
Beyond the D-Statistic: A Comparative Guide to Phylogenetic Networks for Detecting Reticulate Evolution
This article provides a comprehensive comparison for researchers and bioinformaticians between the widely used D-statistic (ABBA-BABA test) and modern phylogenetic network methods for detecting reticulate evolution.
Benchmarking PhyloNet-HMM: A Comprehensive Evaluation of Introgression Detection Tools for Genomic Analysis
This article provides a systematic benchmark of PhyloNet-HMM against contemporary introgression detection methods, addressing critical needs for researchers and drug development professionals working with genomic data.