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Open access – making the most of biomedical literature mining Lars Juhl Jensen EMBL Heidelberg
why open access?
why biomedicine?
why literature mining?
M EDLINE
 
Mitotic cyclin (Clb2)-bound Cdc28 (Cdk1 homolog) directly phosphorylated Swe1 and this modification served as a priming step to promote subsequent Cdc5-dependent Swe1 hyperphosphorylation and degradation
information retrieval
finding the papers
if you can’t find them …
…  they don’t exist!
ad hoc  retrieval
users-specified query
“ yeast  AND  cell cycle”
Mitotic cyclin (Clb2)-bound Cdc28 (Cdk1 homolog) directly phosphorylated Swe1 and this modification served as a priming step to promote subsequent Cdc5-dependent Swe1 hyperphosphorylation and degradation
 
 
M EDLINE
abstracts
complete papers
 
 
tricks
stemming
yeast / yeasts
synonyms
yeast /  S. cerevisiae
dynamic query expansion
next logical step
ontologies
annotation
Cdc28    yeast gene
Cdc28    cell cycle
Mitotic cyclin (Clb2)-bound Cdc28 (Cdk1 homolog) directly phosphorylated Swe1 and this modification served as a priming step to promote subsequent Cdc5-dependent Swe1 hyperphosphorylation and degradation
“ yeast  AND  cell cycle”
entity recognition
identifying the substance(s)
Mitotic cyclin ( Clb2 )-bound  Cdc28  (Cdk1 homolog) directly phosphorylated  Swe1  and this modification served as a priming step to promote subsequent  Cdc5 -dependent  Swe1  hyperphosphorylation and degradation
if you can’t find them …
…  they don’t exist!
 
 
 
abstracts
M EDLINE
tricks
good synonyms list
manual curation
orthographic variation
CDC28
Cdc28p
disambiguation
hairy
SDS
Cdc2
information extraction
formalizing the facts
co-mentioning
Mitotic cyclin ( Clb2 )-bound  Cdc28  (Cdk1 homolog) directly phosphorylated  Swe1  and this modification served as a priming step to promote subsequent  Cdc5 -dependent  Swe1  hyperphosphorylation and degradation
 
NLP Natural Language Processing
Mitotic cyclin ( Clb2 )-bound  Cdc28  (Cdk1 homolog) directly phosphorylated  Swe1  and this modification served as a priming step to promote subsequent  Cdc5 -dependent  Swe1  hyperphosphorylation  and degradation
[object Object],[object Object],[object Object],[object Object]
 
new discoveries
text mining
 
 
temporal trends
 
buzzwords
 
grant applications
global correlations
32 79 83 3592 Regulates Regulated P < 9  10 -9
transcriptional networks
11 27 44 3704 Phosphorylates Phosphorylated P < 2  10 -7
signal cascades
8 107 47 3625 Expression Phosphorylation P < 5  10 -4
 
integration of text and data
 
 
 
 
network mining
linking genes to diseases
 
 
 
 
multifactorial diseases
genotype to phenotype
 
 
 
where are we now?
 
abstracts
complete papers
restricted access
open access
the tools are there
now we need the text!
Acknowledgments ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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