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Korea BioInformation Center Byoung-Chul Kim

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1 Korea BioInformation Center Byoung-Chul Kim
: A database of Human SNPs (Single Nucleotide Polymorphisms) within putative promoter region Korea BioInformation Center Byoung-Chul Kim

2 Korean Bioinformation Center (KOBIC)
The national bioinformatics center of Korea Mission is to integrate of diverse biological information Genome information Biodiversity information Bioresource information Work towards the development of international training programs on bioinformatics Develop bioinformatics tools and resources which need your participation BioWiki (online knowledgebase of biology) BioPipe (Bioworkflow engine) 2

3 BioWiki Wiki a web technology that enables anyone to create and update website contents. well suited for developing online knowledge bases (e.g., Wikipedia ). BioWiki Project that in order to adopt the wiki paradigm in biology Goal is the collaborative development of biological knowledge bases. BioWiki Contest ( ) 3

4 BioPipe To participate in, please visit. http://www.biopipe.net
Design View Ontology View Monitoring View Toolbar Drag the module from the list and drop it into the design view. BioWorkFlow Engine Design of bioinformatics pipelines No installation required Drag, Drop and Connect Biopipe Contest - openfree Web 2.0 - period : Aug 15th ~ Sep 20th To participate in, please visit. 4

5 Korea BioInformation Center Byoung-Chul Kim
: A database of Human SNPs (Single Nucleotide Polymorphisms) within putative promoter region Korea BioInformation Center Byoung-Chul Kim

6 What are SNPs (Single Nucleotide Polymorphisms)
Common DNA sequence variations among individuals in genome wherein the least frequent allele has an abundance of 1% or greater. Make up about 90% of all human genetic variation Occurs every 100 to 300 bases along the 3-billion-bases human genome Some SNPs are reported to be highly related to diseases or influence cells response to a drug

7 SNPs have various functions
G/T promoter G/T G/C GU AG TFBS 5’UTR atggacgtactggtg tctgagtgctccgcg 3’UTR A/G G/T Type 1 transcript Type 2 transcript Type 3 transcript Type 1 protein M D V L V S E C S A Altering the encoded protein Alternative splicing Premature termination Transcription regulation M D V L V S E S S A Type 2 protein Type 3 protein

8 KOBIC Variome Project

9 SNP@Promoter is constructed such as…
Identification of putative promoter regions NCBI Entez Genes NCBI Human Genome Transfac Prediction of Transcription factor binding sites NCBI dbSNP SNPs within regulatory region UCSC human conservation score Calculation of Evolution conservation score in TFBS KEGG HGMD OMIM GAD GOA Integration of Functional annotation databases

10 We can improve the predictive sensitivity of TFBS
Prediction of TFBS have high false-positive rate Evolutionarily conserved regions within or adjoining the gene often serve as critical cis-regulatory regions show the predicted TFBS with evolutionary conservation score UCSC GENOME BROWSER

11 What can you do with SNP@Promoter?
Gene Predicted TFBS Ontology Conservation of TFBS Pathway Annotation SNP within Promoter SNP within TFBS GAD GOA OMIM UCSC Disease association KEGG NCBI dbSNP Transfac HGMD Human Genome NCBI Gene

12 Example : Atopy associated genes and SNPs

13 Atopy associated gene list

14 SNPs in atopy associated gene

15 Graphic viewer

16 Conclusions http://variome.kobic.re.kr
is a database Predict functional SNPs Provide a platform for biologists for finding functional SNPs


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