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GraphConnect
the power of graphs to analyze biological data
about me
who am i ...
➡ big data architect @ datablend - continuum
provide big data and nosql consultancy
• 5 years of hands-on expertise in the pharma/biotech sector
•

Davy Suvee
@DSUVEE
big data in pharma
massive data

scalable number crunching platform

complex data

visual insights-driven platform

full genome sequencing

biological networks

graphs!!
big data in pharma (2 specific use cases)

outlier detection platform
neo4j, mongodb/cassandra and gephi

euretos - brain

neo4j, mongodb, solr and prefuse
gene expression clustering
➡ oncology data set:
★ 4.800 samples
★ 27.000 genes
➡ Question:
★ for a particular subset of samples,
which genes are co-expressed?
storing gene expressions (mongodb)
{ "_id" : { "$oid" : "4f1fb64a1695629dd9d916e3"} ,
  "sample_name" : "122551hp133a21.cel" ,
  "genomics_id" : 122551 ,
  "sample_id" : 343981 ,
  "donor_id" : 143981 ,
  "sample_type" : "Tissue" ,
  "sample_site" : "Ascending colon" ,
  "pathology_category" : "MALIGNANT" ,
  "pathology_morphology" : "Adenocarcinoma" ,
  "pathology_type" : "Primary malignant neoplasm of colon" ,
  "primary_site" : "Colon" ,
  "expressions" : [ { "gene" : "X1_at" , "expression" : 5.54217719084415} ,
                    { "gene" : "X10_at" , "expression" : 3.92335121981739} ,
                    { "gene" : "X100_at" , "expression" : 7.81638155662255} ,
                    { "gene" : "X1000_at" , "expression" : 5.44318512260619} ,
                     … ]
}
correlating samples (mongodb/map-reduce)
x

pearson correlation

y

43

99

21

65

25

79

42

75

57

87

59

81

0,52
co-expression graph (neo4j)
122551

correlat
ed

6

create an edge between both nodes

8
value : 0,

➡ create a node for each sample
➡ if correlation between two samples >= 0.8

122553

122552
co-expression visualisation (gephi)
euretos - brain
➡ pubmed: 23 million biomedical articles
1300 new ones added every day
• google-like search interface
•

➡ reading an article ...
•

malaria is transferred by mosquitoes
euretos - brain

authors

references
euretos - brain

ooooooh crap ...
euretos - brain
➡ nanopub (nanopub.org)
•

the smallest unit of publishable information

➡ assertion
• subject: malaria
• predicate: transferred by
• object: mosquito

➡ provenance
• how this came to be (meta-data)
euretos - brain
➡ unfortunately, malaria is encoded in various ways ...
db1

db2

db3

malaria

P22384

AQ879

malaria
euretos - brain

malaria

transferred by

mosquito
euretos - brain
➡ brain (http://www.euretos.com/brain)
exploration and analysis platform
• millions of concepts/triples/nanopubs
• pubmed, uniprot, omim, pubchem, ...
•

➡ architectural stack
•
•
•

meta-data is stored in mongodb
graph in neo4j
swing interface connecting to rest endpoints
brain
brain
brain
brain
brain
brain
brain
brain
Questions?
datablend - continuum

Follow us

E-MAIL

twitter.com/data_blend
www.datablend.be

info@datablend.be

www.datablend.be

info@datablend.be

0499/05.00.89

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The Power of Graphs to Analyze Biological Data

  • 2. the power of graphs to analyze biological data
  • 3. about me who am i ... ➡ big data architect @ datablend - continuum provide big data and nosql consultancy • 5 years of hands-on expertise in the pharma/biotech sector • Davy Suvee @DSUVEE
  • 4. big data in pharma massive data scalable number crunching platform complex data visual insights-driven platform full genome sequencing biological networks graphs!!
  • 5. big data in pharma (2 specific use cases) outlier detection platform neo4j, mongodb/cassandra and gephi euretos - brain neo4j, mongodb, solr and prefuse
  • 6. gene expression clustering ➡ oncology data set: ★ 4.800 samples ★ 27.000 genes ➡ Question: ★ for a particular subset of samples, which genes are co-expressed?
  • 7. storing gene expressions (mongodb) { "_id" : { "$oid" : "4f1fb64a1695629dd9d916e3"} ,   "sample_name" : "122551hp133a21.cel" ,   "genomics_id" : 122551 ,   "sample_id" : 343981 ,   "donor_id" : 143981 ,   "sample_type" : "Tissue" ,   "sample_site" : "Ascending colon" ,   "pathology_category" : "MALIGNANT" ,   "pathology_morphology" : "Adenocarcinoma" ,   "pathology_type" : "Primary malignant neoplasm of colon" ,   "primary_site" : "Colon" ,   "expressions" : [ { "gene" : "X1_at" , "expression" : 5.54217719084415} ,                     { "gene" : "X10_at" , "expression" : 3.92335121981739} ,                     { "gene" : "X100_at" , "expression" : 7.81638155662255} ,                     { "gene" : "X1000_at" , "expression" : 5.44318512260619} ,                      … ] }
  • 8. correlating samples (mongodb/map-reduce) x pearson correlation y 43 99 21 65 25 79 42 75 57 87 59 81 0,52
  • 9. co-expression graph (neo4j) 122551 correlat ed 6 create an edge between both nodes 8 value : 0, ➡ create a node for each sample ➡ if correlation between two samples >= 0.8 122553 122552
  • 11. euretos - brain ➡ pubmed: 23 million biomedical articles 1300 new ones added every day • google-like search interface • ➡ reading an article ... • malaria is transferred by mosquitoes
  • 14. euretos - brain ➡ nanopub (nanopub.org) • the smallest unit of publishable information ➡ assertion • subject: malaria • predicate: transferred by • object: mosquito ➡ provenance • how this came to be (meta-data)
  • 15. euretos - brain ➡ unfortunately, malaria is encoded in various ways ... db1 db2 db3 malaria P22384 AQ879 malaria
  • 17. euretos - brain ➡ brain (http://www.euretos.com/brain) exploration and analysis platform • millions of concepts/triples/nanopubs • pubmed, uniprot, omim, pubchem, ... • ➡ architectural stack • • • meta-data is stored in mongodb graph in neo4j swing interface connecting to rest endpoints
  • 18. brain
  • 19. brain
  • 20. brain
  • 21. brain
  • 22. brain
  • 23. brain
  • 24. brain
  • 25. brain
  • 27. datablend - continuum Follow us E-MAIL twitter.com/data_blend www.datablend.be info@datablend.be www.datablend.be info@datablend.be 0499/05.00.89