ANNOVAR - Revision history

Tanthony@uab.edu: added category bioinformatics

2012-04-04T15:02:17Z

added category bioinformatics

← Older revision		Revision as of 15:02, 4 April 2012
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	</pre>		</pre>

	[[Category:Software]]		[[Category:Software]][[Category:Bioinformatics]]

Tanthony@uab.edu: added category software

2012-04-04T13:42:46Z

added category software

← Older revision		Revision as of 13:42, 4 April 2012
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	module load annovar/annovar-2012Feb23		module load annovar/annovar-2012Feb23
	</pre>		</pre>

			[[Category:Software]]

Tanthony@uab.edu at 19:38, 2 April 2012

2012-04-02T19:38:01Z

← Older revision		Revision as of 19:38, 2 April 2012
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	'''Project website:''' http://www.openbioinformatics.org/annovar/		'''Project website:''' http://www.openbioinformatics.org/annovar/

			====Load SGE module====
	The following Modules files should be loaded for this package:		The following Modules files should be loaded for this package:
	<pre>		<pre>
	module load annovar/annovar-2012Feb23		module load annovar/annovar-2012Feb23
	</pre>		</pre>

Tanthony@uab.edu at 19:15, 2 April 2012

2012-04-02T19:15:20Z

← Older revision		Revision as of 19:15, 2 April 2012
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	[http://www.openbioinformatics.org/annovar/ ANNOVAR]is an efficient software tool to utilize update-to-date information to functionally annotate genetic variants detected from diverse genomes (including human genome hg18, hg19, as well as mouse, worm, fly, yeast and many others). Given a list of variants with chromosome, start position, end position, reference nucleotide and observed nucleotides, ANNOVAR can perform:		[http://www.openbioinformatics.org/annovar/ ANNOVAR]is an efficient software tool to utilize update-to-date information to functionally annotate genetic variants detected from diverse genomes (including human genome hg18, hg19, as well as mouse, worm, fly, yeast and many others). Given a list of variants with chromosome, start position, end position, reference nucleotide and observed nucleotides, ANNOVAR can perform:

	* Gene-based annotation: identify whether SNPs or CNVs cause protein coding changes and the amino acids that are affected. Users can flexibly use RefSeq genes, UCSC genes, ENSEMBL genes, GENCODE genes, or many other gene definition systems.		* Gene-based annotation: identify whether SNPs or CNVs cause protein coding changes and the amino acids that are affected. Users can flexibly use RefSeq genes, UCSC genes, ENSEMBL genes, GENCODE genes, or many other gene definition systems.
	* Region-based annotations: identify variants in specific genomic regions, for example, conserved regions among 44 species, predicted transcription factor binding sites, segmental duplication regions, GWAS hits, database of genomic variants, DNAse I hypersensitivity sites, ENCODE H3K4Me1/H3K4Me3/H3K27Ac/CTCF sites, ChIP-Seq peaks, RNA-Seq peaks, or many other annotations on genomic intervals.		* Region-based annotations: identify variants in specific genomic regions, for example, conserved regions among 44 species, predicted transcription factor binding sites, segmental duplication regions, GWAS hits, database of genomic variants, DNAse I hypersensitivity sites, ENCODE H3K4Me1/H3K4Me3/H3K27Ac/CTCF sites, ChIP-Seq peaks, RNA-Seq peaks, or many other annotations on genomic intervals.
	* Filter-based annotation: identify variants that are reported in dbSNP, or identify the subset of common SNPs (MAF>1%) in the 1000 Genome Project, or identify subset of non-synonymous SNPs with SIFT score>0.05, or many other annotations on specific mutations.		* Filter-based annotation: identify variants that are reported in dbSNP, or identify the subset of common SNPs (MAF>1%) in the 1000 Genome Project, or identify subset of non-synonymous SNPs with SIFT score>0.05, or many other annotations on specific mutations.
	* Other functionalities: Retrieve the nucleotide sequence in any user-specific genomic positions in batch, identify a candidate gene list for Mendelian diseases from exome data, identify a list of SNPs from 1000 Genomes that are in strong LD with a GWAS hit, and many other creative utilities.		* Other functionalities: Retrieve the nucleotide sequence in any user-specific genomic positions in batch, identify a candidate gene list for Mendelian diseases from exome data, identify a list of SNPs from 1000 Genomes that are in strong LD with a GWAS hit, and many other creative utilities.

	'''Project website:''' http://www.openbioinformatics.org/annovar/		'''Project website:''' http://www.openbioinformatics.org/annovar/

Tanthony@uab.edu: Created page with "{{Generic_stub}} [http://www.openbioinformatics.org/annovar/ ANNOVAR]is an efficient software tool to utilize update-to-date information to functionally annotate genetic varian..."

2012-04-02T19:14:51Z

Created page with "{{Generic_stub}} [http://www.openbioinformatics.org/annovar/ ANNOVAR]is an efficient software tool to utilize update-to-date information to functionally annotate genetic varian..."

New page

{{Generic_stub}}

[http://www.openbioinformatics.org/annovar/ ANNOVAR]is an efficient software tool to utilize update-to-date information to functionally annotate genetic variants detected from diverse genomes (including human genome hg18, hg19, as well as mouse, worm, fly, yeast and many others). Given a list of variants with chromosome, start position, end position, reference nucleotide and observed nucleotides, ANNOVAR can perform:

* Gene-based annotation: identify whether SNPs or CNVs cause protein coding changes and the amino acids that are affected. Users can flexibly use RefSeq genes, UCSC genes, ENSEMBL genes, GENCODE genes, or many other gene definition systems.
* Region-based annotations: identify variants in specific genomic regions, for example, conserved regions among 44 species, predicted transcription factor binding sites, segmental duplication regions, GWAS hits, database of genomic variants, DNAse I hypersensitivity sites, ENCODE H3K4Me1/H3K4Me3/H3K27Ac/CTCF sites, ChIP-Seq peaks, RNA-Seq peaks, or many other annotations on genomic intervals.
* Filter-based annotation: identify variants that are reported in dbSNP, or identify the subset of common SNPs (MAF>1%) in the 1000 Genome Project, or identify subset of non-synonymous SNPs with SIFT score>0.05, or many other annotations on specific mutations.
* Other functionalities: Retrieve the nucleotide sequence in any user-specific genomic positions in batch, identify a candidate gene list for Mendelian diseases from exome data, identify a list of SNPs from 1000 Genomes that are in strong LD with a GWAS hit, and many other creative utilities.

'''Project website:''' http://www.openbioinformatics.org/annovar/

The following Modules files should be loaded for this package:
<pre>
module load annovar/annovar-2012Feb23
</pre>