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Main.HomePage History
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July 27, 2010, at 06:34 AM
by 124.12.12.181 -
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Download McSNP software version 1.0 beta: http://www.bioinformatics.org/mcsnp/wiki/McSNP.jar
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Download McSNP software version 1.0 beta: http://www.bioinformatics.org/mcsnp/wiki/java-code.rar
July 27, 2010, at 06:17 AM
by 124.12.12.181 -
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http://www.bioinformatics.org/mcsnp/wiki/image.jpg
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http://www.bioinformatics.org/mcsnp/wiki/gui.jpg
July 19, 2010, at 11:46 PM
by 124.11.142.240 -
Changed lines 27-28 from:
Download McSNP software version 1.0 beta: http://www.bioinformatics.org/mcsnp/wiki/McSNP.jar
to:
Download McSNP software version 1.0 beta: http://www.bioinformatics.org/mcsnp/wiki/McSNP.jar
July 19, 2010, at 11:45 PM
by 124.11.142.240 -
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http://www.bioinformatics.org/mcsnp/wiki/image.jpg
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http://www.bioinformatics.org/mcsnp/wiki/image.jpg
July 19, 2010, at 11:45 PM
by 124.11.142.240 -
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http://www.bioinformatics.org/mcsnp/wiki/image.jpg
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http://www.bioinformatics.org/mcsnp/wiki/image.jpg
July 19, 2010, at 11:44 PM
by 124.11.142.240 -
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http://www.bioinformatics.org/mcsnp/wiki/image.jpg
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http://www.bioinformatics.org/mcsnp/wiki/image.jpg
July 19, 2010, at 11:42 PM
by 124.11.142.240 -
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http://www.bioinformatics.org/mcsnp/wiki/image.jpg
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http://www.bioinformatics.org/mcsnp/wiki/image.jpg
July 19, 2010, at 11:41 PM
by 124.11.142.240 -
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Download McSNP software version 1.0 beta: http://www.bioinformatics.org/mcsnp/wiki/McSNP.jar
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Download McSNP software version 1.0 beta: http://www.bioinformatics.org/mcsnp/wiki/McSNP.jar
Demo Input file
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Demo Input file
Download demonstration file here: http://www.bioinformatics.org/mcsnp/wiki/web_demo.txt.
July 19, 2010, at 11:40 PM
by 124.11.142.240 -
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Download McSNP software version 1.0 beta: http://www.bioinformatics.org/mcsnp/wiki/McSNP.jar
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Download demonstration file here: http://www.bioinformatics.org/mcsnp/wiki/web_demo.txt.
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Download demonstration file here: | http://www.bioinformatics.org/mcsnp/wiki/web_demo.txt.
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Download demonstration file here: http://www.bioinformatics.org/mcsnp/wiki/web_demo.txt.
July 19, 2010, at 11:37 PM
by 124.11.142.240 -
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Download demonstration file here: | http://www.bioinformatics.org/mcsnp/wiki/web_demo.txt.
July 19, 2010, at 11:36 PM
by 124.11.142.240 -
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Download demonstration file "here" http://www.bioinformatics.org/mcsnp/wiki/web_demo.txt
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July 19, 2010, at 11:33 PM
by 124.11.142.240 -
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Download demonstration file here http://www.bioinformatics.org/mcsnp/wiki/web_demo.txt
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Download demonstration file "here" http://www.bioinformatics.org/mcsnp/wiki/web_demo.txt
July 19, 2010, at 11:30 PM
by 124.11.142.240 -
Deleted lines 19-21:
Software Versions
The software is implemented in the Java language. We will constantly update the new versions with enhanced functionality.
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to:
Software Versions
The software is implemented in the Java language. We will constantly update the new versions with enhanced functionality.
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Download demonstration file here http://www.bioinformatics.org/mcsnp/wiki/web_demo.txt
July 19, 2010, at 11:26 PM
by 124.11.142.240 -
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http://www.bioinformatics.org/mcsnp/wiki/image.jpg
July 18, 2010, at 12:38 PM
by 124.11.138.69 -
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July 18, 2010, at 12:22 PM
by 124.11.138.69 -
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July 18, 2010, at 12:07 PM
by 124.11.138.69 -
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The software is implemented in the Java language. We will constantly update the new versions with enhanced functionality.
to:
The software is implemented in the Java language. We will constantly update the new versions with enhanced functionality.
July 18, 2010, at 12:06 PM
by 124.11.138.69 -
Changed lines 17-20 from:
Intended Use
Users and clinicians can conduct the base calling using the default settings directly. Or alternatively, they can carry out the coefficients training themselves.A graphical user interface is provided for the ease of data manipulation.
to:
Intended Use of the Software
Users and clinicians can conduct the base calling using the default settings directly. Or alternatively, they can carry out the coefficients training themselves. A graphical user interface is provided for the ease of data manipulation.
Changed lines 22-24 from:
The Software is implemented in the Java language. We will constantly update the new versions with enhanced functionality.
Demo Input file
to:
The software is implemented in the Java language. We will constantly update the new versions with enhanced functionality.
Demo Input file
July 18, 2010, at 12:05 PM
by 124.11.138.69 -
Changed lines 1-13 from:
Project Goal
This project aims to develop a software that can handle the base calling using Tm-shifted melting curve SNP genotyping methods. A suprevised algorithm will be implemented so that the base calling parameters can be pre-trained for making calls of the new samples.'
Motivation
Melting curve SNP is a relatively cheap and handy genotyping technique as it is an extension of the RT-PCR technique. It make use of the difference in melting temperature of PCR products for different alleles.
A supervised algorithm is more adequate for a clinicl setting than unsupervised algorithms.
to:
Project Goal
This project aims to develop a software that can handle the base calling of Tm-shifted melting curve SNP genotyping methods. A suprevised algorithm is implemented so that the base calling coefficients can be pre-trained for making calls of the new samples.'
Motivation
Melting curve SNP (McSNP) is a relatively cheap and handy genotyping technique as it is an extension of the RT-PCR technique. It make use of the difference in melting temperature of PCR products for different alleles.
A supervised algorithm is more adequate for McSNP calling a clinicl setting than unsupervised algorithms.
Changed lines 17-21 from:
Intended Use
Users and clinicians can conduct the base calling using the default settings directly. Or alternatively, they can carry out the coefficients training and base calling themselves.A graphical user interface is provided for the ease of data manipulation.
Software Versions
to:
Intended Use
Users and clinicians can conduct the base calling using the default settings directly. Or alternatively, they can carry out the coefficients training themselves.A graphical user interface is provided for the ease of data manipulation.
Software Versions
July 18, 2010, at 10:52 AM
by 124.11.138.69 -
Changed lines 19-20 from:
Users and clinicians can conduct the base calling using the default settings directly. Or alternatively, they can carry out the coefficients training and base calling themselves.
to:
Users and clinicians can conduct the base calling using the default settings directly. Or alternatively, they can carry out the coefficients training and base calling themselves.A graphical user interface is provided for the ease of data manipulation.
July 18, 2010, at 10:50 AM
by 124.11.138.69 -
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Software Versions
The Software is implemented in the Java language. We will constantly update the new versions with enhanced functionality.
July 18, 2010, at 10:48 AM
by 124.11.138.69 -
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Users and clinicians can conduct the base calling use the csoftwarer directly. Or alternatively, they can carry out the coefficients training and base calling themselves.
Input Data Format
to:
Users and clinicians can conduct the base calling using the default settings directly. Or alternatively, they can carry out the coefficients training and base calling themselves.
Demo Input file
May 03, 2010, at 02:46 AM
by 163.25.118.75 -
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Intented Use
to:
Intended Use
May 03, 2010, at 02:43 AM
by 163.25.118.75 -
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'+
Users and clinicians can conduct the base calling use the csoftwarer directly. Or alternatively, they can carry out the coefficients training and base calling themselves.+'
to:
Users and clinicians can conduct the base calling use the csoftwarer directly. Or alternatively, they can carry out the coefficients training and base calling themselves.
May 03, 2010, at 02:42 AM
by 163.25.118.75 -
Added lines 17-21:
Intented Use
'+
Users and clinicians can conduct the base calling use the csoftwarer directly. Or alternatively, they can carry out the coefficients training and base calling themselves.+'
May 02, 2010, at 01:00 PM
by 124.11.137.29 -
Changed lines 14-17 from:
A biallelic SNP usually has three types, AA, AB and BB. A base caling algorithm is to identify the true type among the three different types. Since the three types are in an order, the ordinal regression is adequate for the training.
to:
A biallelic SNP usually has three types, AA, AB and BB. A base caling algorithm is to identify the true type among the three different types. Since the three types are in an order, the ordinal regression is adequate for the training.
Input Data Format
May 02, 2010, at 12:13 PM
by 124.11.137.29 -
Changed lines 10-14 from:
'+'+Melting curve SNP is a relatively cheap and handy genotyping technique as it is an extension of the RT-PCR technique. It make use of the difference in melting temperature of PCR products for different alleles.
A supervised algorithm is more adequate for a clinicl setting than unsupervised algorithms.
A biallelic SNP usually has three types, AA, AB and BB. A base caling algorithm is to identify the true type among the three different types. Since the three types are in an order, the ordinal regression is adequate for the training.+'+'
to:
Melting curve SNP is a relatively cheap and handy genotyping technique as it is an extension of the RT-PCR technique. It make use of the difference in melting temperature of PCR products for different alleles.
A supervised algorithm is more adequate for a clinicl setting than unsupervised algorithms.
A biallelic SNP usually has three types, AA, AB and BB. A base caling algorithm is to identify the true type among the three different types. Since the three types are in an order, the ordinal regression is adequate for the training.
May 02, 2010, at 12:13 PM
by 124.11.137.29 -
Deleted line 0:
Changed lines 10-11 from:
'+Melting curve SNP is a relatively cheap and handy genotyping technique as it is an extension of the RT-PCR technique. It make use of the difference in melting temperature of PCR products for different alleles.
to:
'+'+Melting curve SNP is a relatively cheap and handy genotyping technique as it is an extension of the RT-PCR technique. It make use of the difference in melting temperature of PCR products for different alleles.
Changed line 14 from:
A biallelic SNP usually has three types, AA, AB and BB. A base caling algorithm is to identify the true type among the three different types. Since the three types are in an order, the ordinal regression is adequate for the training.+'
to:
A biallelic SNP usually has three types, AA, AB and BB. A base caling algorithm is to identify the true type among the three different types. Since the three types are in an order, the ordinal regression is adequate for the training.+'+'
May 02, 2010, at 12:11 PM
by 124.11.137.29 -
Changed lines 1-3 from:
This project aims to develop a software that can handle the base calling using Tm-shifted melting curve SNP genotyping methods. A suprevised algorithm will be implemented so that the base calling parameters can be pre-trained on a defined set of data.'
Melting curve SNP is a relatively cheap genotyping technique as it is an extension of the RT-PCR technique. It make use of the difference in melting temperature of different alleles to be differentiated. A biallelic SNP usually has three types, AA, AB and BB.
to:
Project Goal
This project aims to develop a software that can handle the base calling using Tm-shifted melting curve SNP genotyping methods. A suprevised algorithm will be implemented so that the base calling parameters can be pre-trained for making calls of the new samples.'
Motivation
'+Melting curve SNP is a relatively cheap and handy genotyping technique as it is an extension of the RT-PCR technique. It make use of the difference in melting temperature of PCR products for different alleles.
A supervised algorithm is more adequate for a clinicl setting than unsupervised algorithms.
A biallelic SNP usually has three types, AA, AB and BB. A base caling algorithm is to identify the true type among the three different types. Since the three types are in an order, the ordinal regression is adequate for the training.+'
May 01, 2010, at 12:54 PM
by 124.12.26.53 -
Changed lines 1-3 from:
This project aims to develop a software that can handle the base calling using Tm-shifted melting curve SNP genotyping methods. A suprevised algorithm will be implemented so that the base calling parameters can be pre-trained on a defined set of data.'
to:
This project aims to develop a software that can handle the base calling using Tm-shifted melting curve SNP genotyping methods. A suprevised algorithm will be implemented so that the base calling parameters can be pre-trained on a defined set of data.'
Melting curve SNP is a relatively cheap genotyping technique as it is an extension of the RT-PCR technique. It make use of the difference in melting temperature of different alleles to be differentiated. A biallelic SNP usually has three types, AA, AB and BB.
May 01, 2010, at 12:48 PM
by 124.12.26.53 -
Changed line 1 from:
This project aims to develop a software that can handle the base calling using Tm-shifted melting curve SNP genotyping methods. A suprevised algorithm will be implemented so that the base calling parameters can be pre-trained on a defined set of data.Big text
to:
This project aims to develop a software that can handle the base calling using Tm-shifted melting curve SNP genotyping methods. A suprevised algorithm will be implemented so that the base calling parameters can be pre-trained on a defined set of data.'
May 01, 2010, at 12:47 PM
by 124.12.26.53 -
Changed line 1 from:
This project aims to develop a software that can handle the base calling using Tm-shifted melting curve SNP genotyping methods. A suprevised algorithm will be implemented so that the base calling parameters can be pre-trained on a defined set of data. This will faciltate the practical use of the technology and software
to:
This project aims to develop a software that can handle the base calling using Tm-shifted melting curve SNP genotyping methods. A suprevised algorithm will be implemented so that the base calling parameters can be pre-trained on a defined set of data.Big text
May 01, 2010, at 11:55 AM
by 124.12.26.53 -
Added line 1:
This project aims to develop a software that can handle the base calling using Tm-shifted melting curve SNP genotyping methods. A suprevised algorithm will be implemented so that the base calling parameters can be pre-trained on a defined set of data. This will faciltate the practical use of the technology and software
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