Category: Lab Notes: Genomics

The genetic structure of animal breeds describes how genetic variation is distributed within and between breeds and reflects their history of domestication, artificial selection, genetic drift, gene flow, population bottlenecks, and breeding practices.

Genes and genomes are fundamental to understanding how genetic information is stored, inherited, expressed, and regulated. Learn about gene structure, chromosomes, genome organization, genetic variation, mutations, gene regulation, genome sequencing, and modern genomics.

Single-cell multi-omics integrates multiple molecular layers at the level of individual cells to reveal cellular heterogeneity, regulatory states, disease mechanisms, developmental trajectories, cell-cell interactions and drug responses.

Constitutive and facultative heterochromatin are two forms of condensed chromatin with distinct properties and functions. Compare their stability, gene activity, genomic locations, epigenetic marks, and roles in chromosome organization and gene regulation.

Heterochromatin is a relatively compact form of chromatin associated with reduced DNA accessibility and transcriptional activity. Learn about constitutive and facultative heterochromatin, histone modifications, DNA methylation, chromosome organization, gene regulation, and genome stability.

Chromatin organization describes how DNA is packaged and arranged from the DNA double helix and nucleosomes to higher-order chromatin domains, loops, chromosome territories, and condensed chromosomes. Learn how these organizational levels support gene regulation, DNA replication, DNA repair, and genome stability.

Antimicrobial resistance databases provide reference sequences and annotations for detecting and interpreting resistance genes. Learn about AMR database types, resistance gene resources, database selection, curation, sequence matching, metagenomic applications, and limitations.

Resistance gene detection identifies genetic determinants associated with antimicrobial resistance in microbial genomes and communities. Learn how metagenomic sequencing, resistance databases, read-based and assembly-based analysis, gene prediction, abundance profiling, and genomic context are used to detect and characterize antimicrobial resistance genes.

Resistome profiling characterizes antimicrobial resistance genes within microbial communities. Learn how resistomes are detected, quantified, compared, and interpreted using metagenomic sequencing, resistance databases, abundance analysis, diversity analysis, statistical methods, and genomic context.

Resistance gene abundance analysis measures the representation of antimicrobial resistance genes within microbial communities. Learn how resistance genes are quantified using metagenomic sequencing, relative and absolute abundance methods, normalization, prevalence analysis, statistical testing, and genomic context.

Metagenomic resistome analysis examines the collection of antimicrobial resistance genes within microbial communities. Learn how resistomes are detected, profiled, quantified, compared, and interpreted using metagenomic sequencing, resistance databases, assembly, genome-resolved analysis, statistical methods, and genomic context.

Metagenomic DNA extraction is a critical step in recovering microbial DNA from complex biological and environmental samples. Learn about extraction methods, cell lysis, purification, DNA quality control, contamination, extraction bias, and sequencing requirements.

Metagenomic sample collection is one of the most important steps in a metagenomics study because the quality and representativeness of…

Amplicon sequencing is a targeted approach for studying microbial communities using selected genetic markers. Learn about 16S rRNA and ITS sequencing, PCR, bioinformatics, applications, advantages, and limitations.

Antimicrobial resistance genes enable microorganisms to survive antimicrobial exposure through mechanisms such as drug modification, target protection, reduced permeability, and active efflux. Learn how resistance genes are detected and analyzed using metagenomic sequencing, resistance gene databases, gene prediction, assembly, abundance analysis, and genomic context.