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BioMart 2007 Arek Kasprzyk European Bioinformatics Institute BOSC Vienna, July 2007
Data Flow Mart JAVA PERL Source data DAS Web GUI Command line Desktop  GUI Web Service
Data Flow JAVA PERL Mart DAS Web GUI Command line Desktop  GUI Web Service
Admin Tools
Recent developments (0.4- 0.6) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Flow Mart JAVA PERL Source data DAS Web GUI Command line Desktop  GUI Web Service
MartBuilder
MartBuilder
MartBuilder
MartView
API my $initializer = BioMart::Initializer->new('registryFile'=>$confFile); my $registry = $initializer->getRegistry; my $query = BioMart::Query->new('registry'=>$registry,'virtualSchemaName'=>’central_server_1'); $query->setDataset(" hsapiens_gene_ensembl "); $query->addFilter(" chromosome_name ", [” 1 "]); $query->addAttribute(" ensembl_gene_id "); $query->addAttribute(" ensembl_transcript_id "); $query->addAttribute(” ensembl_peptide_id "); $query->setDataset(“ msd ”); $query->addFilter(” experiment_type ", [” NMR "]); $query->addAttribute(" pdb_id "); $query->addAttribute(” resolution "); $query->addAttribute(” release_date "); $query->addAttribute(” header "); my $query_runner = BioMart::QueryRunner->new(); $query_runner->execute($query); $query_runner->printResults();
Web service <Query virtualSchemaName=&quot;central_server_1&quot;> <Dataset name=&quot; hsapiens_gene_ensembl &quot; >   <Filter name=&quot; chromosome_name &quot; value=&quot; 1 &quot;/> <Attribute name=&quot; ensembl_gene_id &quot;/> <Attribute name=&quot; ensembl_transcript_id &quot;/> <Attribute name=&quot; ensembl_peptide_id &quot;/>   </Dataset> <Dataset name=&quot; msd &quot;>   <Filter name=&quot; experiment_type &quot; value=” NMR &quot;/> <Attribute name=&quot; pdb_id &quot;/> <Attribute name=” resolution &quot;/> <Attribute name=” release_date &quot;/> <Attribute name=” header &quot;/> </Dataset> </Query>
MartService ,[object Object],[object Object],[object Object],[object Object],[object Object]
Meta data http://www.mycompany.com/mypath/martservice ? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Query  -O 5utr.dat <?xml version=&quot;1.0&quot; encoding=&quot;UTF-8&quot;?>  <!DOCTYPE Query> <Query  virtualSchemaName  = &quot;default&quot; count  = &quot;&quot;  softwareVersion  = &quot;0.5&quot; >   <Dataset name=&quot; hsapiens_gene_ensembl &quot; > <Attribute name=&quot; ensembl_gene_id &quot;/> <Attribute name=&quot; ensembl_transcript_id &quot;/> <Filter name=&quot; chromosome_name &quot; value=&quot; 1 &quot;/> <Filter name=&quot; band_end &quot; value=” p36.33 &quot; / > <Filter name=&quot; band_start &quot; value=” q44 &quot;/> </Dataset> <Dataset name=&quot; msd &quot;> <Attribute name=&quot; pdb_id &quot;/> <Attribute name=” experiment_type &quot;/> <Filter name=&quot; experiment_type &quot; value=” NMR &quot;/> </Dataset> </Query> wget -q 'http://www.biomart.org/biomart/martservice?query=
Results ,[object Object],[object Object],[object Object],[object Object],[object Object]
Genomic data
Uniprot, MSD, ArrayExpress
Model organism databases
Developmental models
Proteomics
Name Fragment Position Alleles  strand SNP1 AL139258 1659852 T/A  1 SNP2 NT_25698 2569873 C/T  -1 SNP3 chr13 1125698 C/G 1 Genetics of Infectious and Autoimmune Diseases,  Pasteur Institute, INSERM U730, Paris, France. Target SNP selection for the study of  type 1 diabetes (T1D), malaria and dengue Data conversion and integration Ensembl HapMap NCBI UCSC Priopriatery  data Diabetes-Gene Association DataBase Combined proprietary and public data
CAPRISA   understanding HIV pathogenesis and epidemiology as well as HIV/AIDS treatment and prevention Clinical Data MID Cellular Immunity Humoral Immunity HLA Typing Sequence &  Sequence Related Pipeline
Unilever ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
 
1. Filter 2. Attributes 3. Results Use Example 1  All genes in the human genome  up-regulated in Pancreatic Adenocarcinomas (PDACs) vs Normal Pancreas (ND))
1. Filter 2. Attributes 3. Results Use Example 2  all  upstream sequences for all genes on chromosome 1  up-regulated in Pancreatic Adenocarcinomas (PDACs) vs Normal Pancreas (ND))
1. Filter 2. Attributes Use Example 3  3. Results Just Finished my experiment and would like to get the overlaps  between my results and those reported in previous studies !
Web service
Perl
DAS
Bioconductor package biomaRt
Galaxy
Taverna
Central Server (www.biomart.org)
www.biomart.org/biomart/ martservice
Future plans
New configuration system ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
New configuration system ,[object Object],[object Object],[object Object],[object Object],[object Object]
New MartGUI framework ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
New GUI framework ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
New GUI framework Gene Id conversion Functional annotation Compare two gene lists Analyze gene list Draw  distribution Full search Draw bla bla chart Home Welcome to my data  mining website SITE HEADER
New GUI framework Gene Id conversion Functional annotation Compare two gene lists Analyze gene list Genbank Trembl Uniprot Submit Draw distribution Full search paste your  ids here Draw bla bla chart Hugo Home SITE HEADER
New GUI framework Home Gene Id converter Fu Full search Welcome to my data mining website
New GUI framework Hugo Genebank Uniprot Swissprot Submit paste your  ids here Home Fu Full search Gene Id conversion
Cytogenetic distribution of pancreatic cancer genes satisfying my query (histogram)
Cytogenetic distribution of pancreatic cancer genes satisfying my query (ideogram)
Cytogenetic distribution of chromosomal aberrations in pancreatic cancer
 
New GUI framework
New GUI framework
New configuration tool ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Credits ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Biomart Update

  • 1. BioMart 2007 Arek Kasprzyk European Bioinformatics Institute BOSC Vienna, July 2007
  • 2. Data Flow Mart JAVA PERL Source data DAS Web GUI Command line Desktop GUI Web Service
  • 3. Data Flow JAVA PERL Mart DAS Web GUI Command line Desktop GUI Web Service
  • 5.
  • 6. Data Flow Mart JAVA PERL Source data DAS Web GUI Command line Desktop GUI Web Service
  • 11. API my $initializer = BioMart::Initializer->new('registryFile'=>$confFile); my $registry = $initializer->getRegistry; my $query = BioMart::Query->new('registry'=>$registry,'virtualSchemaName'=>’central_server_1'); $query->setDataset(&quot; hsapiens_gene_ensembl &quot;); $query->addFilter(&quot; chromosome_name &quot;, [” 1 &quot;]); $query->addAttribute(&quot; ensembl_gene_id &quot;); $query->addAttribute(&quot; ensembl_transcript_id &quot;); $query->addAttribute(” ensembl_peptide_id &quot;); $query->setDataset(“ msd ”); $query->addFilter(” experiment_type &quot;, [” NMR &quot;]); $query->addAttribute(&quot; pdb_id &quot;); $query->addAttribute(” resolution &quot;); $query->addAttribute(” release_date &quot;); $query->addAttribute(” header &quot;); my $query_runner = BioMart::QueryRunner->new(); $query_runner->execute($query); $query_runner->printResults();
  • 12. Web service <Query virtualSchemaName=&quot;central_server_1&quot;> <Dataset name=&quot; hsapiens_gene_ensembl &quot; > <Filter name=&quot; chromosome_name &quot; value=&quot; 1 &quot;/> <Attribute name=&quot; ensembl_gene_id &quot;/> <Attribute name=&quot; ensembl_transcript_id &quot;/> <Attribute name=&quot; ensembl_peptide_id &quot;/> </Dataset> <Dataset name=&quot; msd &quot;> <Filter name=&quot; experiment_type &quot; value=” NMR &quot;/> <Attribute name=&quot; pdb_id &quot;/> <Attribute name=” resolution &quot;/> <Attribute name=” release_date &quot;/> <Attribute name=” header &quot;/> </Dataset> </Query>
  • 13.
  • 14.
  • 15. Query -O 5utr.dat <?xml version=&quot;1.0&quot; encoding=&quot;UTF-8&quot;?> <!DOCTYPE Query> <Query virtualSchemaName = &quot;default&quot; count = &quot;&quot; softwareVersion = &quot;0.5&quot; > <Dataset name=&quot; hsapiens_gene_ensembl &quot; > <Attribute name=&quot; ensembl_gene_id &quot;/> <Attribute name=&quot; ensembl_transcript_id &quot;/> <Filter name=&quot; chromosome_name &quot; value=&quot; 1 &quot;/> <Filter name=&quot; band_end &quot; value=” p36.33 &quot; / > <Filter name=&quot; band_start &quot; value=” q44 &quot;/> </Dataset> <Dataset name=&quot; msd &quot;> <Attribute name=&quot; pdb_id &quot;/> <Attribute name=” experiment_type &quot;/> <Filter name=&quot; experiment_type &quot; value=” NMR &quot;/> </Dataset> </Query> wget -q 'http://www.biomart.org/biomart/martservice?query=
  • 16.
  • 22. Name Fragment Position Alleles strand SNP1 AL139258 1659852 T/A 1 SNP2 NT_25698 2569873 C/T -1 SNP3 chr13 1125698 C/G 1 Genetics of Infectious and Autoimmune Diseases, Pasteur Institute, INSERM U730, Paris, France. Target SNP selection for the study of type 1 diabetes (T1D), malaria and dengue Data conversion and integration Ensembl HapMap NCBI UCSC Priopriatery data Diabetes-Gene Association DataBase Combined proprietary and public data
  • 23. CAPRISA understanding HIV pathogenesis and epidemiology as well as HIV/AIDS treatment and prevention Clinical Data MID Cellular Immunity Humoral Immunity HLA Typing Sequence & Sequence Related Pipeline
  • 24.
  • 25.  
  • 26. 1. Filter 2. Attributes 3. Results Use Example 1 All genes in the human genome up-regulated in Pancreatic Adenocarcinomas (PDACs) vs Normal Pancreas (ND))
  • 27. 1. Filter 2. Attributes 3. Results Use Example 2 all upstream sequences for all genes on chromosome 1 up-regulated in Pancreatic Adenocarcinomas (PDACs) vs Normal Pancreas (ND))
  • 28. 1. Filter 2. Attributes Use Example 3 3. Results Just Finished my experiment and would like to get the overlaps between my results and those reported in previous studies !
  • 30. Perl
  • 31. DAS
  • 38.
  • 39.
  • 40.
  • 41.
  • 42. New GUI framework Gene Id conversion Functional annotation Compare two gene lists Analyze gene list Draw distribution Full search Draw bla bla chart Home Welcome to my data mining website SITE HEADER
  • 43. New GUI framework Gene Id conversion Functional annotation Compare two gene lists Analyze gene list Genbank Trembl Uniprot Submit Draw distribution Full search paste your ids here Draw bla bla chart Hugo Home SITE HEADER
  • 44. New GUI framework Home Gene Id converter Fu Full search Welcome to my data mining website
  • 45. New GUI framework Hugo Genebank Uniprot Swissprot Submit paste your ids here Home Fu Full search Gene Id conversion
  • 46. Cytogenetic distribution of pancreatic cancer genes satisfying my query (histogram)
  • 47. Cytogenetic distribution of pancreatic cancer genes satisfying my query (ideogram)
  • 48. Cytogenetic distribution of chromosomal aberrations in pancreatic cancer
  • 49.  
  • 52.
  • 53.