UniGene: Difference between revisions
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{{DISPLAYTITLE:UniGene}} | |||
[[File:Unigene_banner.jpg|thumb|right|UniGene logo]] | [[File:Unigene_banner.jpg|thumb|right|UniGene logo]] | ||
'''UniGene''' is a | '''UniGene''' is a database of the [[National Center for Biotechnology Information|NCBI]] that provides a non-redundant set of [[gene]]-oriented clusters of [[expressed sequence tag|EST]] sequences. It is a valuable resource for researchers in the field of [[genomics]] and [[bioinformatics]]. | ||
== | ==Overview== | ||
UniGene was developed to organize [[expressed sequence tag|EST]] sequences into clusters that represent a unique [[gene]] or a set of closely related genes. Each UniGene cluster contains sequences that are believed to come from the same transcription locus, along with related information such as tissue types in which the gene is expressed and [[chromosome|chromosomal]] location. | |||
UniGene | ==Functionality== | ||
UniGene serves several important functions in the field of [[genomics]]: | |||
* '''Gene Discovery''': By clustering ESTs, UniGene helps in identifying new genes and understanding gene expression patterns across different tissues. | |||
* '''Expression Analysis''': Researchers can use UniGene to study the expression of genes in various tissues and developmental stages. | |||
* '''Sequence Alignment''': UniGene provides alignments of ESTs to known [[genome|genomic]] sequences, aiding in the annotation of [[genome|genomes]]. | |||
UniGene | ==Data Organization== | ||
UniGene organizes data into clusters based on sequence similarity. Each cluster is assigned a unique identifier and includes: | |||
* A list of [[expressed sequence tag|EST]] sequences | |||
* Information about the tissues from which the sequences were derived | |||
* Links to related [[gene]] information in other databases | |||
UniGene is widely used in [[bioinformatics]] and [[genomics]] research | ==Applications== | ||
UniGene is widely used in [[bioinformatics]] and [[genomics]] research for: | |||
* '''Gene Annotation''': Assisting in the annotation of [[genome|genomic]] sequences by providing evidence of transcription. | |||
* '''Comparative Genomics''': Facilitating the comparison of gene expression patterns across different species. | |||
* '''Functional Genomics''': Supporting studies on gene function and regulation by providing expression data. | |||
* | ==Limitations== | ||
While UniGene is a powerful tool, it has some limitations: | |||
* '''Redundancy''': Some clusters may contain sequences from closely related genes, leading to potential redundancy. | |||
* '''Incomplete Coverage''': Not all genes are represented in UniGene, especially those with low expression levels. | |||
==Related pages== | |||
* [[Expressed sequence tag]] | * [[Expressed sequence tag]] | ||
* [[Genomics]] | |||
* [[Bioinformatics]] | |||
* [[National Center for Biotechnology Information]] | * [[National Center for Biotechnology Information]] | ||
[[Category:Bioinformatics databases]] | [[Category:Bioinformatics databases]] | ||
[[Category:Genomics]] | [[Category:Genomics]] | ||
Latest revision as of 03:48, 13 February 2025
UniGene is a database of the NCBI that provides a non-redundant set of gene-oriented clusters of EST sequences. It is a valuable resource for researchers in the field of genomics and bioinformatics.
Overview[edit]
UniGene was developed to organize EST sequences into clusters that represent a unique gene or a set of closely related genes. Each UniGene cluster contains sequences that are believed to come from the same transcription locus, along with related information such as tissue types in which the gene is expressed and chromosomal location.
Functionality[edit]
UniGene serves several important functions in the field of genomics:
- Gene Discovery: By clustering ESTs, UniGene helps in identifying new genes and understanding gene expression patterns across different tissues.
- Expression Analysis: Researchers can use UniGene to study the expression of genes in various tissues and developmental stages.
- Sequence Alignment: UniGene provides alignments of ESTs to known genomic sequences, aiding in the annotation of genomes.
Data Organization[edit]
UniGene organizes data into clusters based on sequence similarity. Each cluster is assigned a unique identifier and includes:
- A list of EST sequences
- Information about the tissues from which the sequences were derived
- Links to related gene information in other databases
Applications[edit]
UniGene is widely used in bioinformatics and genomics research for:
- Gene Annotation: Assisting in the annotation of genomic sequences by providing evidence of transcription.
- Comparative Genomics: Facilitating the comparison of gene expression patterns across different species.
- Functional Genomics: Supporting studies on gene function and regulation by providing expression data.
Limitations[edit]
While UniGene is a powerful tool, it has some limitations:
- Redundancy: Some clusters may contain sequences from closely related genes, leading to potential redundancy.
- Incomplete Coverage: Not all genes are represented in UniGene, especially those with low expression levels.
