Integration and Integration and analysis of multi- analysis of multi- type high-throughput type high-throughput data for data for biomolecular biomolecular knowledge discovery knowledge discovery Dr. Erik Bongcam-Rudloff Dr. Erik Bongcam-Rudloff SGBC-SLU SGBC-SLU Uppsala, Sweden Uppsala, Sweden
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Integration and analysis of multi-type high-throughput data for biomolecular knowledge discovery Dr. Erik Bongcam-Rudloff SGBC-SLU Uppsala, Sweden.
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Integration and analysis Integration and analysis of multi-type high-of multi-type high-throughput data for throughput data for biomolecular knowledge biomolecular knowledge discoverydiscovery
Dr. Erik Bongcam-RudloffDr. Erik Bongcam-Rudloff
SGBC-SLUSGBC-SLU
Uppsala, SwedenUppsala, Sweden
Biologists modus Biologists modus operandioperandi
Observing a phenomenon that is in some way Observing a phenomenon that is in some way interesting or puzzling.interesting or puzzling.
Making a guess as to the explanation of the Making a guess as to the explanation of the phenomenon.phenomenon.
Devising a test to show how likely this Devising a test to show how likely this explanation is to be true or false.explanation is to be true or false.
Carrying out the test, and, on the basis of the Carrying out the test, and, on the basis of the results, deciding whether the explanation is a results, deciding whether the explanation is a good one or not. In the latter case, a new good one or not. In the latter case, a new explanation will (with luck) 'spring to mind' as explanation will (with luck) 'spring to mind' as a result of the first test.a result of the first test.
But was is the real But was is the real event?event?
Sometimes you could be Sometimes you could be luckylucky
PositivePositive
““PositivePositive”” results are used results are used ““negativenegative”” rejectedrejected
Why?Why?Only positive results are publishableOnly positive results are publishable
““PositivePositive”” results are used results are used ““negativenegative”” rejectedrejected
Why?Why?Only positive results are publishableOnly positive results are publishable
Next Generation Next Generation techniquestechniques
New challengesNew challenges
1 TB data1 TB data1 TB data1 TB data
Gbases produced at Gbases produced at SangerSanger
World NGS MapWorld NGS Map
http://omicsmaps.com/http://omicsmaps.com/
But this is wonderful! But this is wonderful! Or?Or?
Sequence without knowledge connected to it is Sequence without knowledge connected to it is worth: 0worth: 0
The deluge of data produced by these hordes The deluge of data produced by these hordes of machines worldwide demand automatic of machines worldwide demand automatic workflowsworkflows
Complete new systems to shuffle data aroundComplete new systems to shuffle data around
Storage of never used amountsStorage of never used amounts
Machines with gigantic amounts of RAMMachines with gigantic amounts of RAM
COSTSCOSTS
PROBLEMSPROBLEMS
NOmenclatureNOmenclature
Publishing culturePublishing culture
Moving target developmentMoving target development
Old ways of work and resistance to changes in Old ways of work and resistance to changes in cultureculture
Publishing culture as Publishing culture as exampleexample
We get tax payers money, we pay publishers to We get tax payers money, we pay publishers to publish, the publishers sell the articles and obtain publish, the publishers sell the articles and obtain the copy rightsthe copy rights
To connect knowledge to sequences we need To connect knowledge to sequences we need automatic methods, workflows, text mining. Most automatic methods, workflows, text mining. Most of this is limited by close database systems. Only of this is limited by close database systems. Only available is PubMed. But PubMed has only short available is PubMed. But PubMed has only short abstracts. NO information about conditions, M&M abstracts. NO information about conditions, M&M etcetc
We need to change this cultureWe need to change this culture
The BLAST analogy...The BLAST analogy...
By far the most used tool by biologists By far the most used tool by biologists
Not possible if databases were not Open Not possible if databases were not Open Access and freely searchable Access and freely searchable
Imagine if Nucleotide and Protein databases Imagine if Nucleotide and Protein databases followed the life science publishing modelfollowed the life science publishing model
BLASTBLAST
BLASTBLAST
BLASTBLAST
BLASTBLAST
BLASTBLAST
Human centricHuman centric
What about all other areas of the Life What about all other areas of the Life Sciences?Sciences?
Most genes are named by sequence similarity, Most genes are named by sequence similarity, but are the functions the same?but are the functions the same?
A microbiome is the A microbiome is the totality of microbes, totality of microbes,
their genetic elements their genetic elements (genomes), and (genomes), and environmental environmental
interactions in a interactions in a particular environment.particular environment.
Fat and leanFat and lean
Metabolic effects of transplanting gut microbiota Metabolic effects of transplanting gut microbiota from lean donors to subjects with metabolic from lean donors to subjects with metabolic syndrome.syndrome.A. Vrieze et al, EASD abstracts, 24 September 2012.A. Vrieze et al, EASD abstracts, 24 September 2012.
The result was: Lean donor faecal infusion The result was: Lean donor faecal infusion improves hepatic and peripheral insulin resistance improves hepatic and peripheral insulin resistance as well as fasting lipid levels in obese individuals as well as fasting lipid levels in obese individuals with the metabolic syndromewith the metabolic syndrome
Genome sizesGenome sizes
How many species?How many species?
Several orders of magnitude:Several orders of magnitude:
Some estimates:Some estimates:3-50 million species of arthropods3-50 million species of arthropods1-100 million species of nematodes1-100 million species of nematodes
Only a portion of bacterias have being Only a portion of bacterias have being identified, 99% of bacterias cannot be cultured.identified, 99% of bacterias cannot be cultured.
““Once the diversity of the microbial worldis Once the diversity of the microbial worldis catalogued, it will make astronomy to look like catalogued, it will make astronomy to look like a pitiful sciencea pitiful science””Julian Davies, Professor Emeritus. UBCJulian Davies, Professor Emeritus. UBC
Typical Sources of Typical Sources of MetagenomicsMetagenomics
Soil samplesSoil samples
Sea water samplesSea water samples
Air samplesAir samples
Medical samplesMedical samples
Farm animal samplesFarm animal samples
Ancient bonesAncient bones
Human microbiomeHuman microbiome
Ion Proton: "Personal Genome Ion Proton: "Personal Genome Machine".Machine".
LIFE TECHNOLOGIES CORPORATIONLIFE TECHNOLOGIES CORPORATION
Real tests of transcriptome sequencing on the Real tests of transcriptome sequencing on the Proton. Using 500 ng of input poly-A RNA, it was Proton. Using 500 ng of input poly-A RNA, it was possible to generate 50 million reads from a possible to generate 50 million reads from a melanoma cancer sample.melanoma cancer sample.Joe Boland of the National Cancer Institute according to Genomeweb.Joe Boland of the National Cancer Institute according to Genomeweb.
High technology High technology everywhere!everywhere!
New applicationsNew applications
Only imagination will put the limits of what its Only imagination will put the limits of what its possible to be done using Next Generation possible to be done using Next Generation Technologies!Technologies!
The big challenge:The big challenge:
Open Access, Open source, collaborative Open Access, Open source, collaborative networksnetworks
Data sharingData sharing
Common languageCommon language
Tool systems to glue all together!!Tool systems to glue all together!!
SeqAheadSeqAhead
COST Action BM1006: Next Generation COST Action BM1006: Next Generation Sequencing Data Analysis Network. 2011-2014Sequencing Data Analysis Network. 2011-2014
COST Action 25 countriesCOST Action 25 countries
http://www.seqahead.euhttp://www.seqahead.eu//
ALLBIOALLBIO
10 partners 8 countries10 partners 8 countries
FP7 projectFP7 project
Broadening the Bioinformatics Infrastructure to Broadening the Bioinformatics Infrastructure to unicellular, animal, and plant scienceunicellular, animal, and plant science