SlideShare a Scribd company logo
1 of 13
Awais Khan, University of Illinois, Urbana-Champaign Estimation of LD decay using Graphical GenoTypes (GGT) 2.0 software (van Berloo 2008) By Dr. M. Awais Khan University of Illinois, Urbana-Champaign
Awais Khan, University of Illinois, Urbana-Champaign Click on “GGT2” to start the software
Awais Khan, University of Illinois, Urbana-Champaign Click on “excel” icon, it will open “excel data exchange” window to enter data
Awais Khan, University of Illinois, Urbana-Champaign Copy data from  tabsheet “Demonstration data GAS” of  excel file “ Demonstration data-LD-GGT” Click “import into GGT” to import data pasted into GGT Click on “Yes” for “Show Headers” and then Click on  “Past Excel data” to paste data into “Excel data exchange” window
Awais Khan, University of Illinois, Urbana-Champaign Each bar represents the genome of a single individual. Right Click individual bar or Click as shown above to see the detailed view of the genome of each individual
Awais Khan, University of Illinois, Urbana-Champaign View of one individual
Awais Khan, University of Illinois, Urbana-Champaign Click “LD” Calculation of LD Select “LD Measurement” as “Lewontin D`” and Click on “Calc LD for all loci”
Awais Khan, University of Illinois, Urbana-Champaign Click on “LD diallel” to view LD values in diallel format
Awais Khan, University of Illinois, Urbana-Champaign Click on “LD pairwise data” to view pairwise distance between markers and pairwise LD values for different LD measurements
Awais Khan, University of Illinois, Urbana-Champaign Look at “Dist” column and “D`” column and observe the LD trend and distance between markers
Awais Khan, University of Illinois, Urbana-Champaign To look at heat plot view of LD pattern Click on “HeatPlot”
LD between the 5 SNPs in 1.64 kb region of a gene . The values in colored squares represent D ́ between SNP pairs. Summary of the results Awais Khan, University of Illinois, Urbana-Champaign Marker_1-Marker_2 Dist R² D` M1-M2 0.42 0.4 0.76 M1-M3 1.21 0.17 0.41 M1-M4 1.3 0.17 0.41 M1-M5 1.64 0.1 0.32 M2-M3 0.78 0.45 0.58 M2-M4 0.88 0.46 0.58 M2-M5 1.21 0.29 0.42 M3-M4 0.1 1 1 M3-M5 0.43 0.6 0.73 M4-M5 0.33 0.59 0.73
Awais Khan, University of Illinois, Urbana-Champaign Reference: van Berloo R. 2008. GGT 2.0: versatile software for visualization and analysis of genetic data.  J. Hered. 99:232–236

More Related Content

Viewers also liked

Measures of Linkage Disequilibrium
Measures of Linkage DisequilibriumMeasures of Linkage Disequilibrium
Measures of Linkage DisequilibriumAwais Khan
 
Haplotype resolved structural variation assembly with long reads
Haplotype resolved structural variation assembly with long readsHaplotype resolved structural variation assembly with long reads
Haplotype resolved structural variation assembly with long readsGenome Reference Consortium
 
Lecture 3 l dand_haplotypes_full
Lecture 3 l dand_haplotypes_fullLecture 3 l dand_haplotypes_full
Lecture 3 l dand_haplotypes_fullLekki Frazier-Wood
 
Single nucleotide polymorphisms (sn ps), haplotypes,
Single nucleotide polymorphisms (sn ps), haplotypes,Single nucleotide polymorphisms (sn ps), haplotypes,
Single nucleotide polymorphisms (sn ps), haplotypes,Karan Veer Singh
 
Sperm DNA Fragmentation
Sperm DNA FragmentationSperm DNA Fragmentation
Sperm DNA Fragmentationsasicrea
 
Mapping and Applications of Linkage Disequilibrium and Association Mapping in...
Mapping and Applications of Linkage Disequilibrium and Association Mapping in...Mapping and Applications of Linkage Disequilibrium and Association Mapping in...
Mapping and Applications of Linkage Disequilibrium and Association Mapping in...FAO
 
Tetrad analysis, positive and negative interference, mapping through somatic ...
Tetrad analysis, positive and negative interference, mapping through somatic ...Tetrad analysis, positive and negative interference, mapping through somatic ...
Tetrad analysis, positive and negative interference, mapping through somatic ...Promila Sheoran
 

Viewers also liked (12)

Measures of Linkage Disequilibrium
Measures of Linkage DisequilibriumMeasures of Linkage Disequilibrium
Measures of Linkage Disequilibrium
 
Tetrad analysis
Tetrad analysisTetrad analysis
Tetrad analysis
 
linkage
linkagelinkage
linkage
 
Lytic cycle
Lytic cycleLytic cycle
Lytic cycle
 
Haplotype resolved structural variation assembly with long reads
Haplotype resolved structural variation assembly with long readsHaplotype resolved structural variation assembly with long reads
Haplotype resolved structural variation assembly with long reads
 
Lecture 3 l dand_haplotypes_full
Lecture 3 l dand_haplotypes_fullLecture 3 l dand_haplotypes_full
Lecture 3 l dand_haplotypes_full
 
Single nucleotide polymorphisms (sn ps), haplotypes,
Single nucleotide polymorphisms (sn ps), haplotypes,Single nucleotide polymorphisms (sn ps), haplotypes,
Single nucleotide polymorphisms (sn ps), haplotypes,
 
Sperm DNA Fragmentation
Sperm DNA FragmentationSperm DNA Fragmentation
Sperm DNA Fragmentation
 
Mapping and Applications of Linkage Disequilibrium and Association Mapping in...
Mapping and Applications of Linkage Disequilibrium and Association Mapping in...Mapping and Applications of Linkage Disequilibrium and Association Mapping in...
Mapping and Applications of Linkage Disequilibrium and Association Mapping in...
 
Recombination
RecombinationRecombination
Recombination
 
Tetrad analysis, positive and negative interference, mapping through somatic ...
Tetrad analysis, positive and negative interference, mapping through somatic ...Tetrad analysis, positive and negative interference, mapping through somatic ...
Tetrad analysis, positive and negative interference, mapping through somatic ...
 
Snp
SnpSnp
Snp
 

Similar to Estimation of Linkage Disequilibrium using GGT2 Software

Resources for genomics research
Resources for genomics researchResources for genomics research
Resources for genomics researchJennifer Smith
 
Quantifying an association to predict future events chapt
Quantifying an association to predict future events chaptQuantifying an association to predict future events chapt
Quantifying an association to predict future events chaptMARK547399
 
Introduction to spss
Introduction to spssIntroduction to spss
Introduction to spssSubodh Khanal
 
RNA-seq for DE analysis: detecting differential expression - part 5
RNA-seq for DE analysis: detecting differential expression - part 5RNA-seq for DE analysis: detecting differential expression - part 5
RNA-seq for DE analysis: detecting differential expression - part 5BITS
 
extra material for practicals in spss.pptx
extra material for practicals in spss.pptxextra material for practicals in spss.pptx
extra material for practicals in spss.pptxMrMuhammadAsif1
 
Part 5 of RNA-seq for DE analysis: Detecting differential expression
Part 5 of RNA-seq for DE analysis: Detecting differential expressionPart 5 of RNA-seq for DE analysis: Detecting differential expression
Part 5 of RNA-seq for DE analysis: Detecting differential expressionJoachim Jacob
 
Introduction to spss
Introduction to spssIntroduction to spss
Introduction to spssSubodh Khanal
 
Statistics For Data Analytics - Multiple & logistic regression
Statistics For Data Analytics - Multiple & logistic regression Statistics For Data Analytics - Multiple & logistic regression
Statistics For Data Analytics - Multiple & logistic regression Shrikant Samarth
 
Statistical Analysis of Protein Mutations - Copy
Statistical Analysis of Protein Mutations - CopyStatistical Analysis of Protein Mutations - Copy
Statistical Analysis of Protein Mutations - CopyAnna Blendermann
 
SOC2002 Lecture 11
SOC2002 Lecture 11SOC2002 Lecture 11
SOC2002 Lecture 11Bonnie Green
 
Psy 870 module 3 problem set answers
Psy 870  module 3 problem set answersPsy 870  module 3 problem set answers
Psy 870 module 3 problem set answersbestwriter
 
Ordinal logistic regression
Ordinal logistic regression Ordinal logistic regression
Ordinal logistic regression Dr Athar Khan
 
Session ii g1 lab genomics and gene expression mmc-corr
Session ii g1 lab genomics and gene expression mmc-corrSession ii g1 lab genomics and gene expression mmc-corr
Session ii g1 lab genomics and gene expression mmc-corrUSD Bioinformatics
 
this activity is designed for you to explore the continuum of an a.docx
this activity is designed for you to explore the continuum of an a.docxthis activity is designed for you to explore the continuum of an a.docx
this activity is designed for you to explore the continuum of an a.docxhowardh5
 
Chapter 11 KNN Naive Bayes and LDA.pptx
Chapter 11 KNN  Naive Bayes and LDA.pptxChapter 11 KNN  Naive Bayes and LDA.pptx
Chapter 11 KNN Naive Bayes and LDA.pptxkiitlabsbsc
 
Effect Sizes (ES) for Meta-Analyses.pdf
Effect Sizes (ES) for Meta-Analyses.pdfEffect Sizes (ES) for Meta-Analyses.pdf
Effect Sizes (ES) for Meta-Analyses.pdfKitLingLee1
 

Similar to Estimation of Linkage Disequilibrium using GGT2 Software (20)

Discriminant analysis
Discriminant analysisDiscriminant analysis
Discriminant analysis
 
Resources for genomics research
Resources for genomics researchResources for genomics research
Resources for genomics research
 
Quantifying an association to predict future events chapt
Quantifying an association to predict future events chaptQuantifying an association to predict future events chapt
Quantifying an association to predict future events chapt
 
Introduction to spss
Introduction to spssIntroduction to spss
Introduction to spss
 
RNA-seq for DE analysis: detecting differential expression - part 5
RNA-seq for DE analysis: detecting differential expression - part 5RNA-seq for DE analysis: detecting differential expression - part 5
RNA-seq for DE analysis: detecting differential expression - part 5
 
extra material for practicals in spss.pptx
extra material for practicals in spss.pptxextra material for practicals in spss.pptx
extra material for practicals in spss.pptx
 
Part 5 of RNA-seq for DE analysis: Detecting differential expression
Part 5 of RNA-seq for DE analysis: Detecting differential expressionPart 5 of RNA-seq for DE analysis: Detecting differential expression
Part 5 of RNA-seq for DE analysis: Detecting differential expression
 
Introduction to spss
Introduction to spssIntroduction to spss
Introduction to spss
 
Statrting spss
Statrting spssStatrting spss
Statrting spss
 
Statistics For Data Analytics - Multiple & logistic regression
Statistics For Data Analytics - Multiple & logistic regression Statistics For Data Analytics - Multiple & logistic regression
Statistics For Data Analytics - Multiple & logistic regression
 
Statistical Analysis of Protein Mutations - Copy
Statistical Analysis of Protein Mutations - CopyStatistical Analysis of Protein Mutations - Copy
Statistical Analysis of Protein Mutations - Copy
 
SOC2002 Lecture 11
SOC2002 Lecture 11SOC2002 Lecture 11
SOC2002 Lecture 11
 
Psy 870 module 3 problem set answers
Psy 870  module 3 problem set answersPsy 870  module 3 problem set answers
Psy 870 module 3 problem set answers
 
Ordinal logistic regression
Ordinal logistic regression Ordinal logistic regression
Ordinal logistic regression
 
Session ii g1 lab genomics and gene expression mmc-corr
Session ii g1 lab genomics and gene expression mmc-corrSession ii g1 lab genomics and gene expression mmc-corr
Session ii g1 lab genomics and gene expression mmc-corr
 
Kinds Of Variable
Kinds Of VariableKinds Of Variable
Kinds Of Variable
 
this activity is designed for you to explore the continuum of an a.docx
this activity is designed for you to explore the continuum of an a.docxthis activity is designed for you to explore the continuum of an a.docx
this activity is designed for you to explore the continuum of an a.docx
 
Chapter 11 KNN Naive Bayes and LDA.pptx
Chapter 11 KNN  Naive Bayes and LDA.pptxChapter 11 KNN  Naive Bayes and LDA.pptx
Chapter 11 KNN Naive Bayes and LDA.pptx
 
X18136931 statistics ca2_updated
X18136931 statistics ca2_updatedX18136931 statistics ca2_updated
X18136931 statistics ca2_updated
 
Effect Sizes (ES) for Meta-Analyses.pdf
Effect Sizes (ES) for Meta-Analyses.pdfEffect Sizes (ES) for Meta-Analyses.pdf
Effect Sizes (ES) for Meta-Analyses.pdf
 

Recently uploaded

18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...M56BOOKSTORE PRODUCT/SERVICE
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Celine George
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityGeoBlogs
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfUmakantAnnand
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 

Recently uploaded (20)

18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
Incoming and Outgoing Shipments in 1 STEP Using Odoo 17
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Paris 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activityParis 2024 Olympic Geographies - an activity
Paris 2024 Olympic Geographies - an activity
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
Concept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.CompdfConcept of Vouching. B.Com(Hons) /B.Compdf
Concept of Vouching. B.Com(Hons) /B.Compdf
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 

Estimation of Linkage Disequilibrium using GGT2 Software

  • 1. Awais Khan, University of Illinois, Urbana-Champaign Estimation of LD decay using Graphical GenoTypes (GGT) 2.0 software (van Berloo 2008) By Dr. M. Awais Khan University of Illinois, Urbana-Champaign
  • 2. Awais Khan, University of Illinois, Urbana-Champaign Click on “GGT2” to start the software
  • 3. Awais Khan, University of Illinois, Urbana-Champaign Click on “excel” icon, it will open “excel data exchange” window to enter data
  • 4. Awais Khan, University of Illinois, Urbana-Champaign Copy data from tabsheet “Demonstration data GAS” of excel file “ Demonstration data-LD-GGT” Click “import into GGT” to import data pasted into GGT Click on “Yes” for “Show Headers” and then Click on “Past Excel data” to paste data into “Excel data exchange” window
  • 5. Awais Khan, University of Illinois, Urbana-Champaign Each bar represents the genome of a single individual. Right Click individual bar or Click as shown above to see the detailed view of the genome of each individual
  • 6. Awais Khan, University of Illinois, Urbana-Champaign View of one individual
  • 7. Awais Khan, University of Illinois, Urbana-Champaign Click “LD” Calculation of LD Select “LD Measurement” as “Lewontin D`” and Click on “Calc LD for all loci”
  • 8. Awais Khan, University of Illinois, Urbana-Champaign Click on “LD diallel” to view LD values in diallel format
  • 9. Awais Khan, University of Illinois, Urbana-Champaign Click on “LD pairwise data” to view pairwise distance between markers and pairwise LD values for different LD measurements
  • 10. Awais Khan, University of Illinois, Urbana-Champaign Look at “Dist” column and “D`” column and observe the LD trend and distance between markers
  • 11. Awais Khan, University of Illinois, Urbana-Champaign To look at heat plot view of LD pattern Click on “HeatPlot”
  • 12. LD between the 5 SNPs in 1.64 kb region of a gene . The values in colored squares represent D ́ between SNP pairs. Summary of the results Awais Khan, University of Illinois, Urbana-Champaign Marker_1-Marker_2 Dist R² D` M1-M2 0.42 0.4 0.76 M1-M3 1.21 0.17 0.41 M1-M4 1.3 0.17 0.41 M1-M5 1.64 0.1 0.32 M2-M3 0.78 0.45 0.58 M2-M4 0.88 0.46 0.58 M2-M5 1.21 0.29 0.42 M3-M4 0.1 1 1 M3-M5 0.43 0.6 0.73 M4-M5 0.33 0.59 0.73
  • 13. Awais Khan, University of Illinois, Urbana-Champaign Reference: van Berloo R. 2008. GGT 2.0: versatile software for visualization and analysis of genetic data. J. Hered. 99:232–236