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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

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Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
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Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

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Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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Genomic DNA in Prokaryotes00:46

Genomic DNA in Prokaryotes

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The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
Genomic Diversity in Bacteria
Although bacterial genomes are much...
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Updated: Feb 10, 2026

Whole Genome Sequencing of Candida glabrata for Detection of Markers of Antifungal Drug Resistance
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Whole Genome Sequencing of Candida glabrata for Detection of Markers of Antifungal Drug Resistance

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Using the Candida Genome Database.

Marek S Skrzypek1, Jonathan Binkley1, Gavin Sherlock2

  • 1Department of Genetics, Stanford University, Stanford, CA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|May 16, 2018
PubMed
Summary
This summary is machine-generated.

The Candida Genome Database (CGD) provides integrated genomic and experimental data for Candida research. It offers tools to search, retrieve, and analyze gene functions, aiding in the interpretation of biological data.

Keywords:
CandidaExpression analysisGO slimGene ontologyGenome databaseJBrowse

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Area of Science:

  • Mycology
  • Bioinformatics
  • Genomics

Background:

  • Understanding Candida biology necessitates integrated genomic and experimental data.
  • The Candida Genome Database (CGD) serves as a crucial resource for this integration.

Purpose of the Study:

  • To describe how to effectively search, retrieve, and analyze information within the Candida Genome Database (CGD).
  • To guide users in leveraging CGD's tools for exploring Candida gene and protein functions.

Main Methods:

  • Navigating the CGD Home and Locus Summary pages.
  • Utilizing Gene Ontology (GO) tools for large-scale data analysis.
  • Accessing and visualizing microarray and high-throughput sequencing data (JBrowse).

Main Results:

  • CGD provides a comprehensive platform for accessing curated Candida literature and functional genomics data.
  • Users can effectively search for gene sets and explore biological roles using integrated analysis tools.
  • Visualization tools like JBrowse facilitate the interpretation of high-throughput sequencing data.

Conclusions:

  • CGD is an essential resource for researchers studying Candida biology.
  • The database facilitates functional genomics research through integrated data and analysis tools.
  • Effective utilization of CGD enhances the interpretation of experimental data in Candida research.