melanie hilario owryjgxoixwasbcuiunigech apologies multiple postings ecmlpkdd2006 workshop data text mining integrative biology httpcuiunigechhilarioecmlpkdd06biows workshop data text mining integrative biology held september 18 2006 conjunction 17th european conference machine learning 10th european conference principles practice knowledge discovery databases berlin germany httpwwwecmlpkdd2006org background increasing use highthroughput methods molecular biology spawned unprecedented masses well novel types data dna mrna microarrays mass spectrometry snp chips examples technologies allow biologists line hundreds experiments studying thousands genes proteins single experiment thus high volume high dimensionality hallmarks biological data data miners must cope availability comprehensive datasets key biological entities led life scientists reductionist componentcentred approach holistic systemic approach examine interactions among proteins dna proteins build models molecular pathways networks effort understand functioning cells tissues organisms trend toward systems biology compounds problems scale high dimensionality increasing complexity analysis must pursued multiple levels organization order achieve comprehensive coherent view systems structure dynamics systems biologists expect data miners provide computational tools representing integrating modeling heterogeneous data well deciphering complex patterns systems notwithstanding massive amounts biological data accessible thousand databases ultimate source uptodate information field remains biological literature despite efforts curators tirelessly scan known document servers existing databases keep current pace scientific publishing text documents contain critical information may never found structured databases need efficient methods retrieving relevant documents extracting information needed curators biological practitioners text mining research made significant strides recent years yet stack wellknown unsolved problems eg anaphora resolution word sense disambiguation crumbling new challenges analyzing multiple text grain levels extract formalize complex information concerning networks systems goals intended audience emergence systems biology poses new set challenges data mining text mining research goals workshop 1 bring together researchers data text mining discuss latest insights innovations well open issues related biological knowledge discovery data text 2 invite number computational bench biologists exploratory dialogue datatext miners focus unmet dataanalytical needs biologists computational research tracks opened current trend toward integrative bioinformaticsbiology topics technical papers solicited following related subjects biological data mining learning high dimensional data assessing ensuring model stability result reproducibility integrating analysing largescale disparate data eg gene microarrays snps mass spectrometry nmr aptamers representing mining complex data sets lists pathways networks time series hierarchies systems linking genes proteins stages disease development going beyond correlations investigate causal relations temporal modeling molecular pathways cellular mechanisms data mining support integrating genomics proteomics metabolomics biological text mining innovative techniques biological information retrieval extraction corpus generation effective text mining ie techniques limitovercome dependence corpus preannotation extracting complex information text pathways networks processes causal relations platforms functional transcriptomic proteomic integrated database annotation integration issues data text mining representing using biological knowledge datatext mining mapping aligning evaluating validating biological ontologies use ontologies support data text mining learning ontologies text collections structured databases semantic integration information structured data text learning multiple heterogeneous data sources integrating biological knowledge management discovery integrating data text mining biological knowledge discovery interdisciplinary discussions involving biologists bioinformaticians datatext mining specialists position papers following related topics welcome integration discovery hypothesisdriven approaches data mining systems biology novel biological experimental techniques received adequate attention kdd community identifying major bottlenecks extraction new biological knowledge available data new omics eg metabolomics lipidomics potential dataanalytical requirements prospects using proposed data mining techniques resulting models clinical diagnostic tools customizing data mining environments specific needs biological users ergonomy interaction patterns presentation results submission authors invited submit papers related topics listed technical papers assessed based relevance originality significance technical soundness clarity presentation least 2 program committee members position papers examined pc committee biology experts potential stimulate constructive discussions eventual collaboration data mining biology specialists position papers biologists raising novel data mining challenges meet integration issues biological research issues particularly welcome maximum length submissions 12 pages technical papers 6 pages position papers submissions follow springerverlag lncs format author instructions style files available httpwwwspringercomeasthomecomputerlncsauthorshtml please send submissions pdf files melaniehilario_at_cuiunigech clairenedellec_at_jouyinrafr number high quality papers selected publication expanded revised form international journal strong focus knowledge discovery bioinformatics program achieve twofold goal stated propose hybrid workshop format composed morning technical sessions oral presentations datatext mining researchers afternoon interdisciplinary sessions participation bioinformaticians bench biologists sessions include 2 invited talks presentation position papers biologists datatext miners panel selected issues topics proposed interdisciplinary sessions breaks poster displays stimulate informal focused discussions participants datatext mining specialists biologists alike encouraged display posters describing work simply needs expectations etc workshop chairs melanie hilario artificial intelligence lab university geneva cui owryjgxoixwasbcuiunigech claire nédellec mig institut national de la recherche agronomique inra rizhemnfspcyqhjouyinrafr program committee florence dalchébuc university evry france sophia ananiadou university manchester nactem uk christian blaschke bioalma spain nigel collier national institute informatics japan james cussens university york uk fazel famili nrc institute canada lynette hirschman mitre corp usa alexandros kalousis university geneva switzerland stefan kramer university freiburg germany maria liakata university wales aberystwyth uk adeline nazarenko université parisnord france seekiong ng institute infocomm research singapore srinivasan parthasarathy ohio state university usa céline rouveirol lri orsay france jude shavlik university wisconsinmadison usa jaak vilo university tartu estonia scientific committee composed bioinformaticians lab biologists provide expertise matters related biology orientation interdiscplinary sessions committe biology experts terri k attwood university manchester uk philippe beissières mig inra france françois radvanyi institut curie france jeancharles sanchez university hospital geneva switzerland antonia vlahou bioacademy athens greece important dates submission deadline june 28th 2006 notification acceptance july 26th 2006 cameraready papers due august 9th 2006 thu 07 aug 2008 070022 0200 uai ecmlpkdd06 ws data text mining integrative biology