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VarDetect: a nucleotide VarDetect: a nucleotide sequence variation exploratory sequence variation exploratory
tooltoolVarDetect
VarDetect
Chumpol NgamphiwChumpol Ngamphiw11, Supasak , Supasak KulawonganunchaiKulawonganunchai22, Anunchai Assawamakin, Anunchai Assawamakin33, , Ekachai JenwitheesukEkachai Jenwitheesuk11
and Sissades Tongsimaand Sissades Tongsima11
1 Genome Institute, National Center for Genetic Engineering and Biotechnology, Thailand
2 Department of Computer Science, School of Engineering and Technology,
Asian Institute of Technology, Thailand
3 Division of Medical Genetics, Siriraj Hospital, Mahidol University, Thailand
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OutlineOutline Nucleotide sequence variation Common sequencing artifacts VarDetect: algorithms overview Experimental results Conclusions
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http://urgi.versailles.inra.fr/projects/GnpSNP/general_documentation.php
Nucleotide sequence variationNucleotide sequence variation
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Common sequencing artifactsCommon sequencing artifacts
http://seqcore.brcf.med.umich.edu/doc/dnaseq/trouble/badseq.html
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VarDetect: algorithmsVarDetect: algorithmsReading nucleotide traces
Base-CallingBase-Calling
Alignment of input sequences to the reference sequence
SNPs identification
Re-samplingRe-sampling
Pre-alignment, Alignment EnhancementPre-alignment, Alignment Enhancement
CodeMapCodeMap
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Chromatogram trace: base-callingChromatogram trace: base-calling
Reading nucleotide traces: base-calling
Base-calling with BioJavaBase-calling with BioJava
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Calculate peak intensity ratioCalculate peak intensity ratio
Reading nucleotide traces: intensity ratio
QQvv– Q– Qo o ((δδ) for increasing the confidence of SNP ) for increasing the confidence of SNP
detectiondetection
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Partitioning and Re-sampling (PnR) techniquePartitioning and Re-sampling (PnR) technique
Reading nucleotide traces: partition and re-sampling
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Pooled DNA: possible biallelic Pooled DNA: possible biallelic patternpattern
Base-call parameters setting in Base-call parameters setting in VarDetectVarDetect
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Pre-alignment & alignment Pre-alignment & alignment enhancementenhancement
Alignment
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CodeMap analysisCodeMap analysis
SNPs identification: CodeMap
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VarDetect: main graphical user VarDetect: main graphical user interfaceinterface
http://www.biotec.or.th/GI/tools/http://www.biotec.or.th/GI/tools/vardetectvardetect
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Experimental resultsExperimental results
- Tocharoentanaphol C, et al. : Evaluation of resequencing on number of tag SNPs of 13 atherosclerosis-related genes in Thai population. J Hum Genet 2008, 53:74–86.- Thailand SNP discovery project : http://www.biotec.or.th/thaisnp
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ConclusionsConclusions• We presented novel algorithm to interpret fluorescent-based
chromatograms in an automatic fashion and platform independent (Java).
• Three main heuristic procedures are employed:• Turning point (bell shape) detection (PnR algorithm). • Increasing the SNP detection confidence by checking the difference between vicinity and observed quality values (Qv - Qo).• Introduction of CodeMap to detect pattern of SNP and Indel.
• VarDetect offers the most features including the ability to detect SNPs from pooled DNA samples.
• VarDetect use of XML annotated reference sequence to cross check the SNP discovery results within the tool without using external applications.
• VarDetect’s heuristics minimize both false positive and negative errors reducing the effort needed to detect and validate SNPs, making it the tool of choice for automatic SNP detection.
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AcknowledgementsAcknowledgements
Dr. Mazazumi Takahashi, Centre National de Genotypage (CNG), France Dr. Philip Shaw Dr. Prasit Palittapolgarnpim Dr. Chintana Tocharoentanaphol, Chulabhorn Research Institute Dr. Chanin Limwongse, Siriraj Hospital, Mahidol University Thailand SNP discovery project National Center for Genetic Engineering and Biotechnology (BIOTEC)
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Thank You For Your Thank You For Your AttentionAttention
VarDetect
VarDetect
Chumpol NgamphiwChumpol Ngamphiw11, Supasak , Supasak KulawonganunchaiKulawonganunchai22, Anunchai Assawamakin, Anunchai Assawamakin33, , Ekachai JenwitheesukEkachai Jenwitheesuk11
and Sissades Tongsimaand Sissades Tongsima11
1 Genome Institute, National Center for Genetic Engineering and Biotechnology, Thailand2 Department of Computer Science, School of Engineering and Technology,
Asian Institute of Technology, Thailand3 Division of Medical Genetics, Siriraj Hospital, Mahidol University, Thailand