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Critical Assessment of Information Extraction in Biology - data sets are available from Resources/Corpora and require registration.

BioCreative VI

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BioCreative VI Workshop Registration and Information (Events) [2017-07-05]

The BioCreative VI workshop will be held at DoubleTree by Hilton Hotel Bethesda - Bethesda, Maryland during October 18-20, 2017.

Registration


Registration to BioCreative VI Workshop is now open. Please register in our secure website http://www.udel.edu/biocreative6

Registration includes:

  • Breakfast
  • Attendance to workshop
  • Coffee breaks
  • Lunch
  • Tour to the National Library of Medicine
  • Registration is in US dollars:

    Registration TypeEarly fee (until September 18)Late fee (after September 18)
    Student/post-doc$180$250
    Academic/non-profit/Government$330$400
    Industry$400$470

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    Travel Awards


    Funds are available for US participants for the amount up to $700 to participate in the BioCreative workshop. To apply complete the application available here by September 1st. Women, under-represented minorities, students, and post-doctoral fellows are encouraged to apply. Submissions are now closed

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    Scientific Program


    Venue: DoubleTree by Hilton Hotel, Bethesda, Maryland
    Talks: Ballroom D (2nd floor)
    Posters: Balance room (2nd floor)

    The scientific program includes the talks related to the individual tracks, a panel about Innovation in biomedical digital curation, a general session for BioCreative related topics, 2 keynote talks and a poster session. Detailed agenda is shown below

    Wednesday, October 18, 2017

    08:00 - 12:00Registration (EMC foyer, 2nd floor)
    08:00 - 09:00Breakfast (EMC foyer, 2nd floor)
    09:00 - 09:15Workshop opening PDF
    09:15 - 10:40TRACK 1 Interactive Bio-ID Assignment
    9:15-9:25 Introduction to Bio_ID track (Cecilia Arighi, University of Delaware) PDF
    9:25-9:40 Introduction to SourceData and data set (Thomas Lemberger, SourceData)
    9:40-9:55 Overview of Bio_ID results – batch results (Lynette Hirschman, MITRE)
    9:55-10:05 A Neural Named Entity Recognition Approach to Biological Entity Identification (Emily Sheng, Information Sciences Institute/USC)
    10:05-10:15 A Study on Identification of Organism and micro-RNA Mentions in Figure Captions (Po-Ting Lai, National Central University)
    10:15-10:40 Next steps and discussion
    10:40 - 11:00Break
    11:00 - 12:30Panel on Innovation on Digital Curation (Moderators: Fabio Rinaldi and Cecilia Arighi)
    11:00-11:10 Julio Collado-Vides, UNAM- Natural language processing to enhance accessibility to knowledge in RegulonDB
    11:10-11:20 Thomas Lemberger, EMBO- Data transparency in scientific publishing
    11:20-11:30 Zhiyong Lu, NCBI- Text mining for improving the prioritization, curation, and integration of knowledge for clinically relevant variants
    11:30-11:40 Johanna McEntyre, EMBL-EBI- How can text mining scale to meet diverse and precise curation needs?
    11:40-12:30 Open discussion
    12:30 - 13:40Lunch (Restaurant first floor)
    13:40 - 15:40TRACK 4 Mining protein interactions and mutations for precision medicine
    1:40-2:10 Overview of the Precision Medicine Track (Rezarta Islamaj Dogan)
    2:10-2:30 Identifying Relevant Literature for Precision Medicine Using Deep Neural Networks (Sergio Matos)
    2:30- 2:50 Exploring a Deep Learning Pipeline for the BioCreative VI Precision Medicine Task (Tung Tran)
    2:50- 3:10 Mining protein interactions affected by mutations using a NLP based machine learning approach (Albert Steppi and Jinchan Qu)
    3:10-3:30 Document Triage and Relation Extraction for Protein-Protein Interactions affected by Mutations (Dina Demner Fushman for Karin Verspoor and team)
    3:30-3:40 Poster spotlight and Open discussion
    15:40 - 16:00Break
    16:00 - 17:00Keynote- Dr. Patricia Flatley Brennan, Director of National Library of Medicine, NIH
    Towards a future of data-powered health
    17:00 - 18:00Panel on Funding Stakeholders (Moderator: Cathy Wu)
    Susan Gregurick, NIGMS, NIH PDF
    Jennifer Weller, NSF
    Jane Ye, NLM, NIH
    Johanna McEntyre, EMBL-EBI

    Thursday, October 19, 2017

    08:00 - 12:00Registration (EMC foyer, 2nd floor)
    08:00 - 09:00Breakfast (EMC foyer, 2nd floor)
    09:00 - 10:15General session
    9:00-9:20 Efficient and Accurate Entity Recognition for Biomedical Text (Fabio Rinaldi, U. Zurich)
    9:20-9:40 iTextMine: Integrated Text Mining System for Large-Scale Knowledge Extraction from Literature (Jia Ren, U. Delaware)
    9:40-10:00 Large-scale Automated Reading with Reach Discovers New Cancer Driving Mechanisms (Dane Bell, U. Arizona)
    10:00-10:20 Evaluating without a Gold Standard (Lynette Hirschman, MITRE)
    10:20 - 10:40Break
    10:40 - 12:30 TRACK 2 Text-mining services for Kinome Curation
    10:40-11:10 Kinome Track Overview (Julien Gobeill & Patrick Ruch, SIB)
    11:10-11:35 Assisting Document Triage for Human Kinome Curation via Machine Learning (Alan Hsu, NCBI)
    11:35-11:55 KinDER: A Biocuration Tool for Extracting Kinase Knowledge from Biomedical Literature (Adam Morrone & Daniel Dopp, Montana State University)
    11:55-12:20 Discussion
    12:30 - 13:45Lunch (Restaurant first floor)
    13:45 - 15:45 TRACK 3 Extraction of causal network information using the Biological Expression Language
    1:45 - 2:15 BEL Track - Overview and Results (Sumit Madan, Fraunhofer SCAI)
    2:15 - 2:30 Task 1 - BELMiner – Information extraction system to extract BEL relationships (Ravikumar Komandur Elayavilli, Mayo Clinic)
    2:30 - 2:45 Task 1 - Generating Biological Expression Language Statements with Pipeline Approach and Different Parsers (Po-Ting Lai, National Central University)
    2:45 - 3:00 Task 1 - Automatic Extraction of BEL-Statements based on Neural Networks (Mehdi Ali)
    3:00 - 3:15 Task 2 - Semantic Information Retrieval: Exploring dependency and word embedding features in biomedical Information Retrieval (Majid Rastegar-Mojarad)
    3:15 - 3:30 Next steps and discussion (Sumit Madan, Fraunhofer SCAI)
    15:45 - 16:00Break
    16:00 - 17:00Keynote- Dr. Hongfang Liu, Professor Biomedical Informatics, Mayo Clinic
    Text mining in precision medicine: opportunities and challenges
    17:00 - 19:00Poster session and Reception

    Friday, October 20, 2017

    08:00 - 09:00Breakfast (EMC foyer, 2nd floor)
    08:30 - 10:30TRACK 5 Text mining chemical-protein interactions
    8:30-9:00 Overview of the Chemical-Protein relation extraction track (Martin Krallinger / Saber A. Akhondi (CNIO / Elsevier)
    9:00-9:15 Chemical-protein relation extraction with SVM, CNN, RNN and ensemble systems (Yifan Peng, NCBI, NLM, NIH)
    9:15-9:30 Extracting Chemical-Protein Interactions using Long Short-Term Memory Networks (Sérgio Matos, University of Aveiro, Portugal)
    9:30-9:45 Attention based Neural Networks for Chemical Protein Relation Extraction (Ravikumar Komandur Elayavilli, Mayo Clinic, USA)
    9:45-10:00 Extracting protein-chemical compound interactions from literature (Pei-Yau Lung, Florida State University)
    10:00-10:15 Knowledge-base-enriched relation extraction (Ignacio Tripodi, University of Colorado, Boulder)
    10:15 - 10:30 CTCPI - Convolution Tree Kernel-based Chemical-Protein interaction detection (Po-Ting Lai, National Tsing-Hua University, Hsinchu, Taiwan)
    10:30 - 10:45Break
    10:45 - 12:00Tracks open discussion/closing
    12:00 - 13:00Lunch (Restaurant first floor)
    13:00 - 15:30Tour to the National Library of Medicine

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    Work Submissions


    Submission of abstracts/papers should be done via Easychair at the following URL: https://easychair.org/conferences/?conf=bc6. Format for submission:PDF.

    BioCreative VI proceedings will be published online and will be available at the time of the meeting.

    We will invite selected works for full publication in the Database Journal Special Issue for BioCreative.

    Track presentation submissions: Track participants should submit their work in the form of a short paper (up to 4 pages). See template with instructions here. Although template is a word document, the format for submission should be in PDF.

    Submission deadline: please follow the dates described in the track you are participating

    General session submissions: BioCreative VI will host a general session to provide an opportunity to discuss related work to BioCreative topics, including data set preparation, evaluation, biomedical information extraction. Then, we are soliciting submission of your bioNLP work that is related to any of these topics in the form of a 2 page abstracts (see template with instructions can be found here). Although template is a word document, the format for submission should be in PDF. Abstracts will be selected for oral presentation during the corresponding session.

    Submission deadline September 17, 2017

    POSTERS
    Poster size 32"x40"

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    Venue and Access


    Conference venue | Map

    DoubleTree by Hilton Hotel Bethesda - Washington DC
    8120 Wisconsin Avenue, Bethesda, Maryland 20814
    Phone: (301) 652-2000

    Accommodations


    There are a number of rooms reserved for this event at the DoubleTree hotel with a special rate of US$219 per night. This special rate is available through September 22, 2017.
    Guests can go online to the BioCreative hotel page reservation http://doubletree.hilton.com/en/dt/groups/personalized/W/WASBHDT-BC0-20171017 (Preferred)
    OR
    Guests can call 1-800-955-7359 and request the group rate for the BioCreative VI Conference or the Group SRP/Code: BC0.
    OR
    Go to the hotel main page www.bethesda.doubletree.com, click on the Reservations Tab, enter dates and on the Special Accounts Section enter BC0 for the Group/Convention Code.
    The special rate applies for the nights 10/17/2017 through 10/20/2017.

    Directions


    Map & Directions to the hotel from local airports:

    The Doubletree Hotel in Bethesda is conveniently located near 3 airports. It is just 15 miles from Ronald Reagan Washington National Airport (DCA), 27 miles from Washington Dulles International Airport (IAD), and 38 miles from Baltimore Washington International Airport (BWI). All three airports should have private shuttle services available. Fees for these services vary based on distance to the hotel.

    Transportation options from DCA
    Transportation options from IAD
    Transportation options from BWI

    Maps and directions

    Parking

    The hotel offers paid parking (rate $12 for day parking and $23 for overnight). There are also meter spaces and public parking throughout Bethesda area. To check parking places and rates click here

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    Visas


    You are responsible to inquire about visa requirements to enter the US. General information about US visas can be found here. If you need a letter of invitation to attend the workshop please send email to bcviworkshop@gmail.com with subject: visa letter request.

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    Sponsors


    BioCreative workshop is sponsored by

  • NIH/MIGMS Conference grant 1R13GM109648-01A1
  • NIH/MIGMS Supplement 2R01GM08064
  • Database, Oxford University Press
  • International Society for Biocuration
  • Elsevier
  • OpenMinted (654021) H2020 project
  • encomienda MINETAD-CNIO/OTG Sanidad Plan TL
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    BioCreative VI Workshop Proceedings


    The proceedings is now available under downloads at the bottom of this page

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    Downloads

    Publications

    BC V.5 - Workshop Proceedings (Resources) [2017-05-19]

    PDF

    Co-located: BioCreative V.5 Challenge Evaluation Workshop PDF and ELIXIR-EXCELERATE Workshop Text-mining infrastructure requirements PDF
    PDF
    Table of Contents: BC V.5 - Workshop Proceedings

      Editorial and track overview papers

    1. The BioCreative V.5 evaluation workshop: tasks, organization, sessions and topics . Krallinger et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 8-10 PDF
    2. Evaluation of chemical and gene/protein entity recognition systems at BioCreative V.5: the CEMP and GPRO patents tracks. Pérez-Pérez et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 11-18 PDF
    3. Benchmarking biomedical text mining web servers at BioCreative V.5: the technical Interoperability and Performance of annotation Servers - TIPS track . Pérez-Pérez et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 19-27 PDF
    4. Chemical/gene entity recognition tracks: CEMP & GPRO

    5. DUTIR at the BioCreative V.5.BeCalm Tasks: A BLSTM-CRF Approach for Biomedical Entity Recognition in Patents. Luo et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 28-39 PDF
    6. HITextracter System for Chemical and Gene/Protein Entity Mention Recognition in Patents. Liu et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 40-46 PDF
    7. CRFVoter: Chemical Entity Mention, Gene and Protein Related Object recognition using a conglomerate of CRF based tools. Liu et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 47-53 PDF
    8. Neji: Recognition of Chemical and Gene Mentions in Patent Texts. Santos and Matos. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 54-60 PDF
    9. Chemlistem - chemical named entity recognition using recurrent neural networks. Corbett and Boyle. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 61-68 PDF
    10. Recognition of Chemical Entity Mention in Patents Using Feature-rich CRF. Guo et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 69-72 PDF
    11. Towards Robust Chemical Recognition with TaggerOne at the BioCreative V.5 CEMP Task. Leaman and Lu. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 73-80 PDF
    12. A hybrid text mining system for chemical entity recognition and classification using dictionary look-up and pattern matching @ BeCalm challenge evaluation workshop. Raja et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 81-88 PDF
    13. IBEnt: Chemical Entity Mentions in Patents using ChEBI. Lamurias et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 89-95 PDF
    14. ChemGrab: Identification of Chemical Names Using a Combined Negative-Dictionary and Rule-Based Approach. Sharma and Sarkar. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 96-103 PDF
    15. Combining the BANNER tool with the DINTO ontology for the CEMP task of BioCreative V.5. Colon-Ruiz et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 104-107 PDF
    16. An Ensemble Algorithm for Sequential Labelling: A Case Study in Chemical Named Entity Recognition. Wang et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 108-114 PDF
    17. Statistical Principle-based Approach for Gene and Protein Related Object Recognition. Lai et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 115-121 PDF

    18. TIPS (Technical interoperability and performance of annotation servers) Track

    19. Tagger: BeCalm API for rapid named entity recognition. Jensen. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 122-129 PDF
    20. MER: a Minimal Named-Entity Recognition Tagger and Annotation Server. Couto et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 130-137 PDF
    21. SIA: Scalable Interoperable Annotation Server. Kirschnick and Thomas. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 138-145 PDF
    22. High-throughput, interoperability and benchmarking of text-mining with BeCalm biomedical metaserver. Madrid and Valencia. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 146-155 PDF
    23. Performance and interoperability assessment of Disease Extract Annotation Server (DEAS). Jonnagaddala et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 156-162 PDF
    24. TextImager as an interface to BeCalm. Hemati et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 163-166 PDF
    25. Olelo’s named-entity recognition web service in the BeCalm TIPS task. Folkerts and Neves. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 167-174 PDF
    26. OGER: OntoGene’s Entity Recogniser in the BeCalm TIPS Task. Furrer and Rinaldi. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 175-182 PDF
    27. READ-Biomed-Server: A Scalable Annotation Server Using the UIMA Concept Mapper. Teng and Verspoor. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 183-190 PDF
    28. Neji: DIY web services for biomedical concept recognition. Santos and Matos. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 191-195 PDF
    29. NTTMU-SCHEMA BeCalm API in BioCreative V.5. Dai et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 196-204 PDF
    30. Micro-RNA Recognition in Patents in BioCreative V.5. Wang et al. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop, 205-209 PDF

    Downloads

    BioCreative VI

    BioCreative VI Challenge and Workshop (Events) [2017-02-06]

    BioCreative VI Challenge and Workshop

    October 18-20, DoubleTree by Hilton Hotel, Bethesda, Maryland USA

    Team registration for tracks is now open!

    For information about the workshop go here

    BioCreative: Critical Assessment of Information Extraction in Biology (http://www.biocreative.org/ ) is a community-wide effort for evaluating text mining and information extraction systems applied to the biological domain. BioCreative VI will run the following tracks:

  • Track 1: Interactive Bio-ID Assignment (IAT-ID) Track on innovations in Biomedical Digital Curation
    Organizers: Lynette Hirschman, Cecilia Arighi, Thomas Lemberger, Robin Liechti and Cathy Wu
    The Bio-ID track will explore the ID assignment to selected bioentities both at the pre- and post-publication stages, with the aim of facilitating downstream article curation. To do this we are bringing together the various stakeholders to discuss functional requirements and develop interoperable digital curation tools. Built on previous BioCreative experiments, including the interactive tracks, the BioC, gene/protein/chemical extraction tracks, and BeCalm framework, the task is designed to foster the development of an integrated and interoperable workflow of multiple text mining tools for real-world testing in pilot publishing frameworks.
    More information about this track can be found under Tasks or at http://www.biocreative.org/tasks/biocreative-vi/track-1/

  • Track 2: Text-mining services for Kinome Curation
    Organizers: Julien Gobeill, Patrick Ruch and Pascale Gaudet
    Literature triage (selection of relevant articles for curation) is a basic task performed by virtually all curated molecular biology databases. This task will focus on triage for both Protein-Disease and Protein-GO annotations related to human kinases. The full data set covers a significant fraction of the Human Kinome (300 proteins out ~500 kinases), with 30,000 annotations from 13,000 articles ready to be integrated in the neXtProt database by 2017. It contains comprehensive annotations about kinase substrates, GO Biological Processes and Diseases. Each annotation is provided with a PMID.
    The first two tasks deal with triage of abstracts or full-texts. The third task deals with passage selection: given a kinase, an axis, and a full-text regarded as relevant after SIB curation, the systems will return a snippet of max. 500 characters containing enough information to make an annotation.
    More information about this track can be found under Tasks or at http://www.biocreative.org/tasks/biocreative-vi/track-2/

  • Track 3: Extraction of causal network information using the Biological Expression Language (BEL)
    Organizer: Juliane Fluck, Sumit Madan and Justyna Szostak
    Automatic extraction of biological network information is one of the most desired and most complex tasks in biological and medical text mining.
    In BioCreative V, we tackled this complexity by extracting causal relationships represented in Biological Expression Language (BEL). BEL is an advanced knowledge representation format which has been designed to be both human readable and machine processable. The smallest unit is a BEL statement or BEL nanopub, expressing a single causal relationship. In the last BioCreative, there was only a limited time for participants to train on the data and, in addition, the evaluation environment became only available for the test phase. Furthermore, for the second subtask, the sentence classification, no training data was available. Therefore, we decide to present the same task based on new test data. This time, the training data for both subtask is available and, the evaluation environment can be used during the training time. As before, the challenge is organized into two tasks which will evaluate the complementary aspects of the problem:
      1-Given selected textual evidence, construct the corresponding BEL statement
      2-Given a BEL statement, detect all available textual evidence
    The description of the task, the training data and links to the papers and to the evaluation website can be found under the following URL:
    https://wiki.openbel.org/display/BIOC/BioCreative+VI+Track+3+%28BEL+Task+2017%29+Home
    More information about this track can be found under Tasks or at http://www.biocreative.org/tasks/biocreative-vi/track-3/

  • Track 4: Mining protein interactions and mutations for precision medicine (PM)
    Organizers: Rezarta Islamaj Dogan, Andrew Chatr-aryamontri, Sun Kim, Donald C. Comeau, Zhiyong Lu
    We aim to bring together the biomedical text mining community in a new challenge for precision medicine, focusing on identifying and extracting protein-protein interactions affected by mutations described in the biomedical literature. Two subtasks are proposed:
      1-Document Triage: Identifying relevant PubMed citations describing genetic mutations affecting protein-protein interactions
      2-Relation Extraction: Extracting PPI pairs experimentally verified to be affected by the presence of a genetic mutation
    Task datasets will be available in multiple formats (e.g. BioC) and consist of PubMed articles curated for BioGRID and other PPI databases.
    More information about this track can be found under Tasks or at http://www.biocreative.org/tasks/biocreative-vi/track-4/

  • Track 5: Text mining chemical-protein interactions
    Organizers: Martin Krallinger, Alfonso Valencia, Analia Lourenço
    Considerable work has been done on the detection of genes/proteins and also chemical compound mentions, but despite the relevance of relations between them for both biological and well as pharmacological and clinical research only a limited number of strategies have been published to detect interactions between them. A range of different types chemical-protein/gene interactions are of key relevance for biology, including metabolic relations (e.g. substrates, products) inhibition, binding or induction associations. Our aim is to promote research in this field, and to focus on chemical-protein interactions that might be of relevance for precision medicine as well as for drug discovery and basic biomedical research. This task will consist of two subtasks:
      1- Chemical-protein interaction pair detection task: Extracting relations between chemical entities and protein/genes belonging to at least one of a pre-defined set of relation types.
      2- Chemical-protein interaction type detection task: Providing for previously detected interaction pairs (of task 1) the corresponding relation type qualifier).

    Task training and test datasets will prepared and consist of abstracts curated for chemical entity and protein/gene mentions (including mention offsets) as well as relationships between them according to a predefined set of interaction types.
    More information about this track can be found under Tasks or at http://www.biocreative.org/tasks/biocreative-vi/track-5/

    TEAM REGISTRATION

    Teams can participate in one or more of these tracks. Team registration will continue until final commitment is requested by the individual tracks.
    To register a team go to the team registration page

    BIOCREATIVE ORGANIZING COMMITTEE

  • Cecilia Arighi, University of Delaware, USA
  • Andrew Chatr-aryamontri, Institute for Research in Immunology and Cancer, Université de Montréal, Canada
  • Donald Comeau, National Center for Biotechnology Information (NCBI), NIH, USA
  • Kevin Cohen, University of Colorado, USA
  • Juliane Fluck, Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Germany
  • Sumit Madan, Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Germany
  • Rezarta Islamaj Dogan, National Center for Biotechnology Information (NCBI), NIH, USA
  • Pascale Gaudet, Swiss Bioinformatics Institute, Switzerland
  • Julien Gobeill, Swiss Bioinformatics Institute, Switzerland
  • Lynette Hirschman, MITRE Corporation, USA
  • Sun Kim, National Center for Biotechnology Information (NCBI), NIH, USA
  • Martin Krallinger, Spanish National Cancer Centre, CNIO, Spain
  • Zhiyong Lu, National Center for Biotechnology Information (NCBI), NIH, USA
  • Fabio Rinaldi, Swiss Bioinformatics Institute, Switzerland
  • Patrick Ruch, Swiss Bioinformatics Institute, Switzerland
  • Alfonso Valencia, Spanish National Cancer Centre, CNIO, Spain
  • Cathy Wu, University of Delaware and Georgetown University, USA
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