Title: Analysis Environments For Functional Genomics
1Analysis Environments For Functional Genomics
Bruce R. Schatz Institute for Genomic
Biology University of Illinois at
Urbana-Champaign schatz_at_uiuc.edu
www.beespace.uiuc.edu
Neuro Genomics seminar January 23, 2006 UIUC
2What are Analysis Environments
- Functional Analysis
- Find the underlying Mechanisms
- Of Genes, Behaviors, Diseases
- Comparative Analysis
- Top-down data mining (vs Bottom-up)
- Multiple Sources especially literature
3Building Analysis Environments
- Manual by Humans
- Interaction user navigation
- Classification collection indexing
- Automatic by Computers
- Federation search bridges
- Integration results links
4Post-Genome Informatics I
- Comparative Analysis within the
- Dry Lab of Biological Knowledge
- Classical Organisms have Genetic Descriptions.
- There will be NO more classical organisms beyond
- Mice and Men, Worms and Flies, Yeasts and Weeds.
- Must use comparative genomics on classical
organisms - Via sequence homologies and literature analysis.
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5Post-Genome Informatics II
- Functional Analysis within the
- Dry Lab of Biological Knowledge
- Automatic annotation of genes to standard
classifications, e.g. Gene Ontology via homology
on computed protein sequences. - Automatic analysis of functions to scientific
literature, e.g. concept spaces via text
extractions. Thus must use functions in
literature descriptions.
6BeeSpace FIBR Project
- BeeSpace project is NSF FIBR flagship
- Frontiers Integrative Biological Research,
- 5M for 5 years at University of Illinois
- Analyzing Nature and Nurture in Societal Roles
using honey bee as model - (Functional Analysis of Social Behavior)
- Genomic technologies in wet lab and dry lab
- Bee Biology gene expressions
- Space Informatics concept navigations
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9System Architecture
10Conceptual Navigation in BeeSpace
11BeeSpace Analysis Environment
- Build Concept Space of Biomedical Literature for
Functional Analysis of Bee Genes - -Partition Literature into Community Collections
- -Extract and Index Concepts within Collections
- -Navigate Concepts within Documents
- -Follow Links from Documents into Databases
- Locate Candidate Genes in Related Literatures
then follow links into Genome Databases
12Concept Extraction
13Functional Phrases
- ltgenegt encodes ltchemicalgt
- Sokolowski and colleagues demonstrated in
Drosophila melanogaster that the foraging gene
(for) encodes a cGMP dependent protein kinase
(PKG). - The dg2 gene encodes a cyclic guanosine
monophosphate (cGMP)- dependent protein kinase
(PKG). - ltchemicalgt affects/causes ltbehaviorgt
- Thus, PKG levels affected food-search behavior.
- cGMP treatment elevated PKG activity and caused
foraging behavior. - ltgenegt regulates ltbehaviorgt
- Amfor, an ortholog of the Drosophila for gene, is
involved in the regulation of age at onset of
foraging in honey bees. - This idea is supported by results for malvolio
(mvl), which encodes a manganese transporter and
is involved in regulating Drosophila feeding and
age at onset of foraging in honey bees.
14Gene Summarization
- D. melanogaster gene foraging , abbreviated as
for , is reported here . It has also been known
in FlyBase as BcDNAGM08338, CG10033 and
l(2)06860. It encodes a product with
cGMP-dependent protein kinase activity
(EC2.7.1.-) involved in protein amino acid
phosphorylation which is a component of the
cellular_component unknown . It has been
sequenced and its amino acid sequence contains an
eukaryotic protein kinase , a protein kinase
C-terminal domain , a tyrosine kinase catalytic
domain , a serine/Threonine protein kinase family
active site , a cAMP-dependent protein kinase and
a cGMP-dependent protein kinase . It has been
mapped by recombination to 2-10 and cytologically
to 24A2--4 . It interacts genetically with Csr .
There are 27 recorded alleles 1 in vitro
construct (not available from the public stock
centers), 25 classical mutants ( 3 available from
the public stock centers) and 1 wild-type.
Mutations have been isolated which affect the
larval nerve terminal and are behavioral, pupal
recessive lethal, hyperactive, larval
neurophysiology defective and larval neuroanatomy
defective. for is discussed in 80 references
(excluding sequence accessions), dated between
1988 and 2003. These include at least 6 studies
of mutant phenotypes , 2 studies of wild-type
function , 3 studies of natural polymorphisms and
7 molecular studies . Among findings on for
function, for activity levels influence adult
olfactory trap response to a food medium
attractant. Among findings on for polymorphisms,
the frequency of for R and for s strains in three
natural populations are studied to determine the
contribution of the local parasitoid community to
the differences in for R and for s frequencies.
15Well Characterized Gene
16Poorly Characterized Gene
17BeeSpace Information Sources
- Biomedical Literature
- Medline (medicine)
- Biosis (biology)
- Agricola, CAB Abstracts, Agris (agriculture)
- Model Organisms (heredity)
- -Gene Descriptions (FlyBase, WormBase)
- Natural Histories (environment)
- -BeeKeeping Books (Cornell, Harvard)
18Medical Concept Spaces (1998)
- Medical Literature (Medline, 10M abstracts)
- Partition with Medical Subject Headings (MeSH)
- Community is all abstracts classified by core
term - 40M abstracts containing 280M concepts
- computation is 2 days on NCSA Origin 2000
- Simulating World of Medical Communities
- 10K repositories with gt 1K abstracts
- (1K with gt 10K)
19Biological Concept Spaces (2006)
- Compute concept spaces for All of Biology
- BioSpace across entire biomedical literature
- 50M abstracts across 50K repositories
- Use Gene Ontology to partition literature into
- biological communities for functional analysis
- GO same scale as MeSH but adequate coverage?
- GO light on social behavior (biological process)
20BeeSpace Prototype Collections
- Organism
- Bee Apis mellifera
- Fly Fly Ecology, Evolution and Behavior
- Bird Bird Communication
- Development
- Behaviorial Maturation
- Development Development of insects
- Communication Communication by insects
- Behavior
- Agonistic Agonistic and Territorial Behaviors
- Forage Behavior of Resource Acquisition
- Nest Home Maintenance and Defense
- Social Behavior of Social Integration in Insects
21Semantic Concept Clustering
- 558 clusters from 90K BeeSpace abstracts
- Cluster 336
- cactus opuntia sonoran_desert
- drosophila_aldrichi lophocereu
- senita pachea d_aldrichi
- barker-j-s-f mettleri d_buzzatii
- schottii cactaceae rot
- cacti aldrichi nigrospiracula
- yeast_species cladode
22Community Collection Clustering
- Ecology and population genetics of Sonoran Desert
Drosophila - VECTORING OF CACTOPHILIC YEASTS BY DROSOPHILA
- ATTRACTION OF LARVAE OF DROSOPHILA-BUZZATII AND
DROSOPHILA-ALDRICHI TO YEAST SPECIES ISOLATED
FROM THEIR NATURAL ENVIRONMENT - Coexistence of ecologically similar colonising
species Drosophila aldrichi and Drosophila
buzzatii Larval performance on, and adult
preference for, three Opuntia cactus species - HOST-PLANT SPECIFICITY IN THE CACTOPHILIC
DROSOPHILA-MULLERI SPECIES COMPLEX - YEAST COMMUNITIES FROM HOST PLANTS AND ASSOCIATED
DROSOPHILA IN SOUTHERN ARIZONA USA ANALYSIS OF
THE RELATIVE IMPORTANCE OF HOSTS AND VECTORS ON
COMMUNITY COMPOSITION - HETEROGENEITY OF THE YEAST FLORA IN THE BREEDING
SITES OF CACTOPHILIC DROSOPHILA - AN ANALYSIS OF THE YEAST FLORA ASSOCIATED WITH
CACTIPHILIC DROSOPHILA AND THEIR HOST PLANTS IN
THE SONORAN DESERT AND ITS RELATION TO TEMPERATE
AND TROPICAL ASSOCIATIONS
23Concept Switching
- In the Interspace
-
- each Community maintains its own repository
- Switching is navigating Across repositories
- use your specialty vocabulary to search another
specialty
24CONCEPT SWITCHING
- Concept versus Term
- set of semantically equivalent terms
- Concept switching
- region to region (set to set) match
25Biomedical Session
26Categories and Concepts
27Concept Switching
28Document Retrieval
29Prototype System
- Overall Architecture and Interface -- Todd
Littell - Language Parsing and Entity Recognition Jing
Jiang - Normalization and Theme Clustering Qiaozhu Mei
- Concept Navigation and Switching Azadeh Shakery
- Document Clustering and Partitioning Brant Chee
- Annotation Pipeline and Classification Xin He
- Gene Summarization and Integration Xu Ling
-
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35Interactive Functional Analysis
- BeeSpace will enable users to navigate a uniform
space of diverse databases and literature sources
for hypothesis development and testing, with a
software system beyond a searchable database,
using literature analyses to discover functional
relationships between genes and behavior. - Genes to Behaviors
- Behaviors to Genes
- Concepts to Concepts
- Clusters to Clusters
- Navigation across Sources
36BeeSpace Information Sources
- General for All Spaces
- Scientific Literature
- -Medline, Biosis, Agricola
- Genome Databases
- -GenBank, ProteinDataBank, ArrayExpress
- Special for BeeSpace
- Model Organisms (heredity)
- -Gene Descriptions (FlyBase, WormBase)
- Natural Histories (environment)
- -BeeKeeping Books (Cornell, Harvard)
37XSpace Information Sources
- Organize Genome Databases (XBase)
- Compute Gene Descriptions from Model Organisms
- Partition Scientific Literature for Organism X
- Compute XSpace using Semantic Indexing
- Boost the Functional Analysis from Special
Sources - Collecting Useful Data about Natural Histories
- e.g. CowSpace Leverage in AIPL Databases
38Towards SoySpace
- Organize Genome Databases (SoyBase)
- Partition Scientific Literature for SoyBean
- Gene Descriptions from Models (TAIR)
- Natural Histories from Population Databases
- Key to Functional Analysis is Special Sources
- Collecting Appropriate Text about Genes
- Extracting Adequate Data about Histories
- Leverage is National Archives of germplasm and
Historical Records for soybean crops
39Towards the Interspace
- The Analysis Environment technology is
GENERAL! BirdSpace? BeeSpace? - PigSpace? CowSpace?
- BehaviorSpace? BrainSpace?
- SoySpace? CropSpace?
- BioSpace
- Interspace