SNP discovery - Revision history

Appbio at 03:16, 6 April 2012

2012-04-06T03:16:02Z

Appbio: /* References: */

2012-04-06T03:14:11Z

‎References:

Appbio at 02:05, 2 April 2011

2011-04-02T02:05:46Z

Appbio at 01:00, 24 September 2010

2010-09-24T01:00:30Z

Appbio at 01:00, 24 September 2010

2010-09-24T01:00:06Z

Appbio at 00:59, 24 September 2010

2010-09-24T00:59:52Z

Appbio at 00:59, 24 September 2010

2010-09-24T00:59:36Z

Appbio at 11:12, 19 September 2010

2010-09-19T11:12:38Z

Appbio at 11:07, 19 September 2010

2010-09-19T11:07:25Z

Appbio at 07:03, 10 September 2010

2010-09-10T07:03:18Z

← Older revision		Revision as of 03:16, 6 April 2012
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	* Barker G, Batley J, O'Sullivan H, Edwards KJ and Edwards D. (2003) Redundancy Based Detection of Sequence Polymorphisms in Expressed Sequence Tag Data using AutoSNP. [http://bioinformatics.oxfordjournals.org/content/19/3/421.abstract Bioinformatics 19: 421-422]		* Barker G, Batley J, O'Sullivan H, Edwards KJ and Edwards D. (2003) Redundancy Based Detection of Sequence Polymorphisms in Expressed Sequence Tag Data using AutoSNP. [http://bioinformatics.oxfordjournals.org/content/19/3/421.abstract Bioinformatics 19: 421-422]

−	Back to [[~~research~~\|~~research projects~~]]	+	Back to [[Main_Page\|main page]]

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 * Batley J, Barker G, O'Sullivan H, Edwards KJ and Edwards D. (2003) Mining for Single Nucleotide Polymorphisms and Insertions/Deletions in Maize Expressed Sequence Tag Data. [http://www.plantphysiol.org/cgi/content/abstract/132/1/84 Plant Physiology 132: 84-91]
 * Barker G, Batley J, O'Sullivan H, Edwards KJ and Edwards D. (2003) Redundancy Based Detection of Sequence Polymorphisms in Expressed Sequence Tag Data using AutoSNP. [http://bioinformatics.oxfordjournals.org/content/19/3/421.abstract Bioinformatics 19: 421-422]
 Back to [[research|research projects]]

← Older revision		Revision as of 02:05, 2 April 2011
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−	===[http://autosnpdb.~~qfab~~.~~org~~.au/ Launch autoSNPdb]===	+	===[http://autosnpdb.appliedbioinformatics.com.au/ Launch autoSNPdb]===

−	~~===[http://autosnpdb.appliedbioinformatics.com.au/ autoSNPdb2 (under development)]===~~

← Older revision		Revision as of 01:00, 24 September 2010
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	===[http://autosnpdb.qfab.org.au/ Launch autoSNPdb]===		===[http://autosnpdb.qfab.org.au/ Launch autoSNPdb]===

−	===[http://autosnpdb.appliedbioinformatics.com.au/ autoSNPdb2 under development]===	+	===[http://autosnpdb.appliedbioinformatics.com.au/ autoSNPdb2 (under development)]===

← Older revision		Revision as of 01:00, 24 September 2010
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	===[http://autosnpdb.appliedbioinformatics.com.au/ autoSNPdb2 under development]===		===[http://autosnpdb.appliedbioinformatics.com.au/ autoSNPdb2 under development]===
		+

	Molecular genetic markers describe genetic variations and provide a link between observed phenotypes and the underlying genotype. Single Nucleotide Polymorphisms (SNPs) may be considered the ultimate genetic marker as they represent the finest resolution of a DNA sequence, are generally abundant in populations and have a low mutation rate. However, SNP markers can be costly to develop, especially where resequencing from multiple individuals is required. The mining of readily available sequence data significantly reduces the costs associated with SNP discovery). Several methods have been developed for SNP discovery from sequence data.		Molecular genetic markers describe genetic variations and provide a link between observed phenotypes and the underlying genotype. Single Nucleotide Polymorphisms (SNPs) may be considered the ultimate genetic marker as they represent the finest resolution of a DNA sequence, are generally abundant in populations and have a low mutation rate. However, SNP markers can be costly to develop, especially where resequencing from multiple individuals is required. The mining of readily available sequence data significantly reduces the costs associated with SNP discovery). Several methods have been developed for SNP discovery from sequence data.

@@ Line 1: / Line 1: @@
 ===[http://autosnpdb.qfab.org.au/ Launch autoSNPdb]===
-==[http://autosnpdb.appliedbioinformatics.com.au/ autoSNPdb2 under development]==
+===[http://autosnpdb.appliedbioinformatics.com.au/ autoSNPdb2 under development]===
 Molecular genetic markers describe genetic variations and provide a link between observed phenotypes and the underlying genotype. Single Nucleotide Polymorphisms (SNPs) may be considered the ultimate genetic marker as they represent the finest resolution of a DNA sequence, are generally abundant in populations and have a low mutation rate. However, SNP markers can be costly to develop, especially where resequencing from multiple individuals is required. The mining of readily available sequence data significantly reduces the costs associated with SNP discovery). Several methods have been developed for SNP discovery from sequence data.

← Older revision		Revision as of 00:59, 24 September 2010
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	===[http://autosnpdb.qfab.org.au/ Launch autoSNPdb]===		===[http://autosnpdb.qfab.org.au/ Launch autoSNPdb]===
		+
		+	==[http://autosnpdb.appliedbioinformatics.com.au/ autoSNPdb2 under development]==

	Molecular genetic markers describe genetic variations and provide a link between observed phenotypes and the underlying genotype. Single Nucleotide Polymorphisms (SNPs) may be considered the ultimate genetic marker as they represent the finest resolution of a DNA sequence, are generally abundant in populations and have a low mutation rate. However, SNP markers can be costly to develop, especially where resequencing from multiple individuals is required. The mining of readily available sequence data significantly reduces the costs associated with SNP discovery). Several methods have been developed for SNP discovery from sequence data.		Molecular genetic markers describe genetic variations and provide a link between observed phenotypes and the underlying genotype. Single Nucleotide Polymorphisms (SNPs) may be considered the ultimate genetic marker as they represent the finest resolution of a DNA sequence, are generally abundant in populations and have a low mutation rate. However, SNP markers can be costly to develop, especially where resequencing from multiple individuals is required. The mining of readily available sequence data significantly reduces the costs associated with SNP discovery). Several methods have been developed for SNP discovery from sequence data.

← Older revision		Revision as of 11:12, 19 September 2010
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−	References	+	===References:===
		+
		+
		+	* Batley J, Barker G, O'Sullivan H, Edwards KJ and Edwards D. (2003) Mining for Single Nucleotide Polymorphisms and Insertions/Deletions in Maize Expressed Sequence Tag Data. [http://www.plantphysiol.org/cgi/content/abstract/132/1/84 Plant Physiology 132: 84-91]
		+	* Barker G, Batley J, O'Sullivan H, Edwards KJ and Edwards D. (2003) Redundancy Based Detection of Sequence Polymorphisms in Expressed Sequence Tag Data using AutoSNP. [http://bioinformatics.oxfordjournals.org/content/19/3/421.abstract Bioinformatics 19: 421-422]
		+	* Savage D, Batley J, Erwin T, Logan E, Love CG, Lim GAC, Mongin E, Barker GLA, Spangenberg GC and Edwards D. (2005) SNPServer: A Realtime SNP Discovery tool. [http://nar.oxfordjournals.org/content/33/suppl_1/D656.abstract Nucleic Acids Research 33: D656-D659]
		+	* Duran C, Appleby N, Vardy M, Imelfort M, Edwards D and Batley J. (2009) Single Nucleotide Polymorphism Discovery in Barley using AutoSNPdb. [http://onlinelibrary.wiley.com/doi/10.1111/j.1467-7652.2009.00407.x/abstract Plant Biotechnology Journal 7 (4): 326 – 333]
		+	* Imelfort M, Duran C, Batley J and Edwards D. (2009) Discovering genetic polymorphisms in next generation sequencing data. [http://onlinelibrary.wiley.com/doi/10.1111/j.1467-7652.2009.00406.x/abstract Plant Biotechnology Journal 7 (4): 312 – 317]
		+	* Duran C, Appleby N,, Edwards D and Batley J. (2009) Molecular genetic markers: discovery, applications, data storage and visualisation. [http://www.bentham.org/cbio/Samples/cbio%204-1/0003CBIO.pdf Current Bioinformatics 4:16-27]
		+	* Duran C, Appleby N, Clark T, Wood D, Imelfort M, Batley J and Edwards D. (2009) AutoSNPdb: An Annotated Single Nucleotide Polymorphism Database for Crop Plants. [http://nar.oxfordjournals.org/content/37/suppl_1/D951.short Nucleic Acids Research 37: 951–953]

−	* Barker, G., Batley, J., O'Sullivan, H., Edwards, K.J. and Edwards, D. (2003) Redundancy based detection of sequence polymorphisms in expressed sequence tag data using autoSNP, Bioinformatics, 19, 421-422.
−	* Batley, J., Barker, G., O'Sullivan, H., Edwards, K.J. and Edwards, D. (2003) Mining for single nucleotide polymorphisms and insertions/deletions in maize expressed sequence tag data, Plant Physiology, 132, 84-91.
−	* Love, C.G., Robinson, A.J., Lim, G.A.C., Hopkins, C.J., Batley, J., Barker, G., Span-genberg, G.C. and Edwards, D. (2005) Brassica ASTRA: an integrated database for Brassica genomic research, Nucleic Acids Research, 33, D656-D659.
−	* Savage, D., Batley, J., Erwin, T., Logan, E., Love, C.G., Lim, G.A.C., Mongin, E., Barker, G., Spangenberg, G.C. and Edwards, D. (2005) SNPServer: a real-time SNP discovery tool, Nucleic Acids Research, 33, W493-W495.

	Back to [[research\|research projects]]		Back to [[research\|research projects]]

← Older revision		Revision as of 11:07, 19 September 2010
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−	~~autoSNPdb~~	+	===[http://autosnpdb.qfab.org.au/ Launch autoSNPdb]===
−
−	~~Launch~~ [http://autosnpdb.qfab.org.au/ autoSNPdb]

	Molecular genetic markers describe genetic variations and provide a link between observed phenotypes and the underlying genotype. Single Nucleotide Polymorphisms (SNPs) may be considered the ultimate genetic marker as they represent the finest resolution of a DNA sequence, are generally abundant in populations and have a low mutation rate. However, SNP markers can be costly to develop, especially where resequencing from multiple individuals is required. The mining of readily available sequence data significantly reduces the costs associated with SNP discovery). Several methods have been developed for SNP discovery from sequence data.		Molecular genetic markers describe genetic variations and provide a link between observed phenotypes and the underlying genotype. Single Nucleotide Polymorphisms (SNPs) may be considered the ultimate genetic marker as they represent the finest resolution of a DNA sequence, are generally abundant in populations and have a low mutation rate. However, SNP markers can be costly to develop, especially where resequencing from multiple individuals is required. The mining of readily available sequence data significantly reduces the costs associated with SNP discovery). Several methods have been developed for SNP discovery from sequence data.

← Older revision		Revision as of 07:03, 10 September 2010
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	* Love, C.G., Robinson, A.J., Lim, G.A.C., Hopkins, C.J., Batley, J., Barker, G., Span-genberg, G.C. and Edwards, D. (2005) Brassica ASTRA: an integrated database for Brassica genomic research, Nucleic Acids Research, 33, D656-D659.		* Love, C.G., Robinson, A.J., Lim, G.A.C., Hopkins, C.J., Batley, J., Barker, G., Span-genberg, G.C. and Edwards, D. (2005) Brassica ASTRA: an integrated database for Brassica genomic research, Nucleic Acids Research, 33, D656-D659.
	* Savage, D., Batley, J., Erwin, T., Logan, E., Love, C.G., Lim, G.A.C., Mongin, E., Barker, G., Spangenberg, G.C. and Edwards, D. (2005) SNPServer: a real-time SNP discovery tool, Nucleic Acids Research, 33, W493-W495.		* Savage, D., Batley, J., Erwin, T., Logan, E., Love, C.G., Lim, G.A.C., Mongin, E., Barker, G., Spangenberg, G.C. and Edwards, D. (2005) SNPServer: a real-time SNP discovery tool, Nucleic Acids Research, 33, W493-W495.
		+
		+	Back to [[research\|research projects]]