MPGM: Scalable and Accurate Multiple Network Alignment
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Semantic Web
SEMANTIC WEB: REVOLUTIONIZING KNOWLEDGE DISCOVERY IN THE LIFE SCIENCES SEMANTIC WEB: REVOLUTIONIZING KNOWLEDGE DISCOVERY IN THE LIFE SCIENCES Edited by Christopher J. O. Baker1 and Kei-Hoi Cheung2 1Knowledge Discovery Department, Institute for Infocomm Research, Singapore, Singapore; 2Center for Medical Informatics, Yale University School of Medicine, New Haven, CT, USA Kluwer Academic Publishers Boston/Dordrecht/London Contents PART I: Database and Literature Integration Semantic web approach to database integration in the life sciences KEI-HOI CHEUNG, ANDREW K. SMITH, KEVIN Y. L. YIP, CHRISTOPHER J. O. BAKER AND MARK B. GERSTEIN Querying Semantic Web Contents: A case study LOIC ROYER, BENEDIKT LINSE, THOMAS WÄCHTER, TIM FURCH, FRANCOIS BRY, AND MICHAEL SCHROEDER Knowledge Acquisition from the Biomedical Literature LYNETTE HIRSCHMAN, WILLIAM HAYES AND ALFONSO VALENCIA PART II: Ontologies in the Life Sciences Biological Ontologies PATRICK LAMBRIX, HE TAN, VAIDA JAKONIENE, AND LENA STRÖMBÄCK Clinical Ontologies YVES LUSSIER AND OLIVIER BODENREIDER Ontology Engineering For Biological Applications vi Revolutionizing knowledge discovery in the life sciences LARISA N. SOLDATOVA AND ROSS D. KING The Evaluation of Ontologies: Toward Improved Semantic Interoperability LEO OBRST, WERNER CEUSTERS, INDERJEET MANI, STEVE RAY AND BARRY SMITH OWL for the Novice JEFF PAN PART III: Ontology Visualization Techniques for Ontology Visualization XIAOSHU WANG AND JONAS ALMEIDA On Vizualization of OWL Ontologies SERGUEI KRIVOV, FERDINANDO VILLA, RICHARD WILLIAMS, AND XINDONG WU PART IV: Ontologies in Action Applying OWL Reasoning to Genomics: A Case Study KATY WOLSTENCROFT, ROBERT STEVENS AND VOLKER HAARSLEV Can Semantic Web Technologies enable Translational Medicine? VIPUL KASHYAP, TONYA HONGSERMEIER AND SAMUEL J. ARONSON Ontology Design for Biomedical Text Mining RENÉ WITTE, THOMAS KAPPLER, AND CHRISTOPHER J. -
Article Reference
Article Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines BABIC, Zeljana, et al. Abstract The use of misidentified and contaminated cell lines continues to be a problem in biomedical research. Research Resource Identifiers (RRIDs) should reduce the prevalence of misidentified and contaminated cell lines in the literature by alerting researchers to cell lines that are on the list of problematic cell lines, which is maintained by the International Cell Line Authentication Committee (ICLAC) and the Cellosaurus database. To test this assertion, we text-mined the methods sections of about two million papers in PubMed Central, identifying 305,161 unique cell-line names in 150,459 articles. We estimate that 8.6% of these cell lines were on the list of problematic cell lines, whereas only 3.3% of the cell lines in the 634 papers that included RRIDs were on the problematic list. This suggests that the use of RRIDs is associated with a lower reported use of problematic cell lines. Reference BABIC, Zeljana, et al. Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines. eLife, 2019, vol. 8, p. e41676 DOI : 10.7554/eLife.41676 PMID : 30693867 Available at: http://archive-ouverte.unige.ch/unige:119832 Disclaimer: layout of this document may differ from the published version. 1 / 1 FEATURE ARTICLE META-RESEARCH Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines Abstract The use of misidentified and contaminated cell lines continues to be a problem in biomedical research. -
Aggregation and Correlation Toolbox for Analyses of Genome Tracks Justin Jee Yale University
University of Massachusetts eM dical School eScholarship@UMMS Program in Bioinformatics and Integrative Biology Program in Bioinformatics and Integrative Biology Publications and Presentations 4-15-2011 ACT: aggregation and correlation toolbox for analyses of genome tracks Justin Jee Yale University Joel Rozowsky Yale University Kevin Y. Yip Yale University See next page for additional authors Follow this and additional works at: http://escholarship.umassmed.edu/bioinformatics_pubs Part of the Bioinformatics Commons, Computational Biology Commons, and the Systems Biology Commons Repository Citation Jee, Justin; Rozowsky, Joel; Yip, Kevin Y.; Lochovsky, Lucas; Bjornson, Robert; Zhong, Guoneng; Zhang, Zhengdong; Fu, Yutao; Wang, Jie; Weng, Zhiping; and Gerstein, Mark B., "ACT: aggregation and correlation toolbox for analyses of genome tracks" (2011). Program in Bioinformatics and Integrative Biology Publications and Presentations. Paper 26. http://escholarship.umassmed.edu/bioinformatics_pubs/26 This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Program in Bioinformatics and Integrative Biology Publications and Presentations by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. ACT: aggregation and correlation toolbox for analyses of genome tracks Authors Justin Jee, Joel Rozowsky, Kevin Y. Yip, Lucas Lochovsky, Robert Bjornson, Guoneng Zhong, Zhengdong Zhang, Yutao Fu, Jie Wang, Zhiping Weng, and Mark B. Gerstein Comments © The Author(s) 2011. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non- Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non- commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. -
Annual Scientific Report 2013 on the Cover Structure 3Fof in the Protein Data Bank, Determined by Laponogov, I
EMBL-European Bioinformatics Institute Annual Scientific Report 2013 On the cover Structure 3fof in the Protein Data Bank, determined by Laponogov, I. et al. (2009) Structural insight into the quinolone-DNA cleavage complex of type IIA topoisomerases. Nature Structural & Molecular Biology 16, 667-669. © 2014 European Molecular Biology Laboratory This publication was produced by the External Relations team at the European Bioinformatics Institute (EMBL-EBI) A digital version of the brochure can be found at www.ebi.ac.uk/about/brochures For more information about EMBL-EBI please contact: [email protected] Contents Introduction & overview 3 Services 8 Genes, genomes and variation 8 Molecular atlas 12 Proteins and protein families 14 Molecular and cellular structures 18 Chemical biology 20 Molecular systems 22 Cross-domain tools and resources 24 Research 26 Support 32 ELIXIR 36 Facts and figures 38 Funding & resource allocation 38 Growth of core resources 40 Collaborations 42 Our staff in 2013 44 Scientific advisory committees 46 Major database collaborations 50 Publications 52 Organisation of EMBL-EBI leadership 61 2013 EMBL-EBI Annual Scientific Report 1 Foreword Welcome to EMBL-EBI’s 2013 Annual Scientific Report. Here we look back on our major achievements during the year, reflecting on the delivery of our world-class services, research, training, industry collaboration and European coordination of life-science data. The past year has been one full of exciting changes, both scientifically and organisationally. We unveiled a new website that helps users explore our resources more seamlessly, saw the publication of ground-breaking work in data storage and synthetic biology, joined the global alliance for global health, built important new relationships with our partners in industry and celebrated the launch of ELIXIR. -
Biocreative II.5 Workshop 2009 Special Session on Digital Annotations
BioCreative II.5 Workshop 2009 Special Session on Digital Annotations The purified IRF-4 was also The main role of BRCA2 shown to be capable of binding appears to involve regulating the DNA in a PU.1-dependent manner function of RAD51 in the repair by by electrophoretic mobility shift homologous recombination . analysis. brca2 irf4 We found that cells ex- Moreover, expression of pressing Olig2, Nkx2.2, and NG2 Carma1 induces phosphorylation were enriched among virus- of Bcl10 and activation of the infected, GFP-positive (GFP+) transcription factor NF-kappaB. cells. carma1 BB I O olig2 The region of VHL medi- The Rab5 effector ating interaction with HIF-1 alpha Rabaptin-5 and its isoform C R E A T I V E overlapped with a putative Rabaptin-5delta differ in their macromolecular binding site within ability to interact with the rsmallab5 the crystal structure. GTPase Rab4. vhl Translocation RCC, bearing We show that ERBB2-dependenterbb2 atf1 TFE3 or TFEB gene fusions, are Both ATF-1 homodimers and tfe3 medulloblastoma cell invasion and ATF-1/CREB heterodimers bind to recently recognized entities for prometastatic gene expression can the CRE but not to the related which risk factors have not been be blocked using the ERBB tyrosine phorbol ester response element. identified. kinase inhibitor OSI-774. C r i t i c a l A s s e s s m e n t o f I n f o r m a t i o n E x t r a c t i o n i n B i o l o g y October 7th - 9th, 2009 www.BioCreative.org BioCreative II.5 Workshop 2009 special session | Digital Annotations Auditorium of the Spanish National -
The HUPO Proteomics Standards Initiative Meeting: Towards Common Standards for Exchanging Proteomics Data Hinxton, Cambridge, UK, 19–20 October 2002
Comparative and Functional Genomics Comp Funct Genom 2003; 4: 16–19. Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/cfg.232 Feature Meeting Review: The HUPO Proteomics Standards Initiative meeting: towards common standards for exchanging proteomics data Hinxton, Cambridge, UK, 19–20 October 2002 Sandra Orchard, Paul Kersey, Henning Hermjakob* and Rolf Apweiler EMBL Outstation–European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK *Correspondence to: Abstract Henning Hermjakob, EMBL Outstation–European The Proteomics Standards Initiative (PSI) aims to define community standards Bioinformatics Institute, for data representation in proteomics and to facilitate data comparison, exchange Wellcome Trust Genome and verification. Initially the fields of protein–protein interactions (PPI) and mass Campus, Hinxton, Cambridge, spectroscopy have been targeted and the inaugural meeting of the PSI addressed the UK. questions of data storage and exchange in both of these areas. The PPI group rapidly E-mail: reached consensus as to the minimum requirements for a data exchange model; an [email protected] XML draft is now being produced. The mass spectroscopy group have achieved major advances in the definition of a required data model and working groups are currently taking these discussions further. A further meeting is planned in January 2003 to Received: 14 November 2002 advance both these projects. Copyright 2003 John Wiley & Sons, Ltd. Accepted: 14 November 2002 Keywords: proteomics; spectroscopy; protein–protein interactions Introduction process, before splitting into two working parties to address the issues facing their respective fields. The Proteomics Standards Initiative was estab- lished following a meeting in April 2002, jointly organized by HUPO and NAS, at which the urgent Protein–protein interactions (PPI) group need for standardization of proteomics data was recognized. -
General Assembly and Consortium Meeting 2020
EJP RD GA and Consortium meeting Final program EJP RD General Assembly and Consortium meeting 2020 Online September 14th – 18th Page 1 of 46 EJP RD GA and Consortium meeting Final program Program at a glance: Page 2 of 46 EJP RD GA and Consortium meeting Final program Table of contents Program per day ....................................................................................................................... 4 Plenary GA Session .................................................................................................................. 8 Parallel Session Pillar 1 .......................................................................................................... 10 Parallel Session Pillar 2 .......................................................................................................... 11 Parallel Session Pillar 3 .......................................................................................................... 14 Parallel Session Pillar 4 .......................................................................................................... 16 Experimental data resources available in the EJP RD ............................................................. 18 Introduction to translational research for clinical or pre-clinical researchers .......................... 21 Funding opportunities in EJP RD & How to build a successful proposal ............................... 22 RD-Connect Genome-Phenome Analysis Platform ................................................................. 26 Improvement -
The European Bioinformatics Institute in 2020: Building a Global Infrastructure of Interconnected Data Resources for the Life Sciences Charles E
Published online 8 November 2019 Nucleic Acids Research, 2020, Vol. 48, Database issue D17–D23 doi: 10.1093/nar/gkz1033 The European Bioinformatics Institute in 2020: building a global infrastructure of interconnected data resources for the life sciences Charles E. Cook *, Oana Stroe, Guy Cochrane ,EwanBirney and Rolf Apweiler European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK Received September 21, 2019; Revised October 18, 2019; Editorial Decision October 21, 2019; Accepted November 06, 2019 ABSTRACT ature. EMBL-EBI’s data resources collate, integrate, curate and make freely available to the public the world’s scientific Data resources at the European Bioinformatics In- data. stitute (EMBL-EBI, https://www.ebi.ac.uk/)archive, Our resources (www.ebi.ac.uk/services) include archival organize and provide added-value analysis of re- or deposition databases that store primary experimental search data produced around the world. This year’s data submitted by researchers, as well as knowledgebases update for EMBL-EBI focuses on data exchanges that integrate and add value to experimental data, with among resources, both within the institute and with many having both functions (1,2). All EMBL-EBI data re- a wider global infrastructure. Within EMBL-EBI, data sources, are open access and freely available to any user resources exchange data through a rich network of worldwide at any time, and EMBL-EBI strongly supports data flows mediated by automated systems. This net- the concept of FAIR data (findable, accessible, interopera- work ensures that users are served with as much ble, and resuable) (3). -
Tporthmm : Predicting the Substrate Class Of
TPORTHMM : PREDICTING THE SUBSTRATE CLASS OF TRANSMEMBRANE TRANSPORT PROTEINS USING PROFILE HIDDEN MARKOV MODELS Shiva Shamloo A thesis in The Department of Computer Science Presented in Partial Fulfillment of the Requirements For the Degree of Master of Computer Science Concordia University Montréal, Québec, Canada December 2020 © Shiva Shamloo, 2020 Concordia University School of Graduate Studies This is to certify that the thesis prepared By: Shiva Shamloo Entitled: TportHMM : Predicting the substrate class of transmembrane transport proteins using profile Hidden Markov Models and submitted in partial fulfillment of the requirements for the degree of Master of Computer Science complies with the regulations of this University and meets the accepted standards with respect to originality and quality. Signed by the final examining commitee: Examiner Dr. Sabine Bergler Examiner Dr. Andrew Delong Supervisor Dr. Gregory Butler Approved Dr. Lata Narayanan, Chair Department of Computer Science and Software Engineering 20 Dean Dr. Mourad Debbabi Faculty of Engineering and Computer Science Abstract TportHMM : Predicting the substrate class of transmembrane transport proteins using profile Hidden Markov Models Shiva Shamloo Transporters make up a large proportion of proteins in a cell, and play important roles in metabolism, regulation, and signal transduction by mediating movement of compounds across membranes but they are among the least characterized proteins due to their hydropho- bic surfaces and lack of conformational stability. There is a need for tools that predict the substrates which are transported at the level of substrate class and the level of specific substrate. This work develops a predictor, TportHMM, using profile Hidden Markov Model (HMM) and Multiple Sequence Alignment (MSA). -
2003 Mulder Nucl Acids Res {22
The InterPro Database, 2003 brings increased coverage and new features Nicola J Mulder, Rolf Apweiler, Teresa K Attwood, Amos Bairoch, Daniel Barrell, Alex Bateman, David Binns, Margaret Biswas, Paul Bradley, Peer Bork, et al. To cite this version: Nicola J Mulder, Rolf Apweiler, Teresa K Attwood, Amos Bairoch, Daniel Barrell, et al.. The InterPro Database, 2003 brings increased coverage and new features. Nucleic Acids Research, Oxford University Press, 2003, 31 (1), pp.315-318. 10.1093/nar/gkg046. hal-01214149 HAL Id: hal-01214149 https://hal.archives-ouvertes.fr/hal-01214149 Submitted on 9 Oct 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. # 2003 Oxford University Press Nucleic Acids Research, 2003, Vol. 31, No. 1 315–318 DOI: 10.1093/nar/gkg046 The InterPro Database, 2003 brings increased coverage and new features Nicola J. Mulder1,*, Rolf Apweiler1, Teresa K. Attwood3, Amos Bairoch4, Daniel Barrell1, Alex Bateman2, David Binns1, Margaret Biswas5, Paul Bradley1,3, Peer Bork6, Phillip Bucher7, Richard R. Copley8, Emmanuel Courcelle9, Ujjwal Das1, Richard Durbin2, Laurent Falquet7, Wolfgang Fleischmann1, Sam Griffiths-Jones2, Downloaded from Daniel Haft10, Nicola Harte1, Nicolas Hulo4, Daniel Kahn9, Alexander Kanapin1, Maria Krestyaninova1, Rodrigo Lopez1, Ivica Letunic6, David Lonsdale1, Ville Silventoinen1, Sandra E. -
You Are Cordially Invited to a Talk in the Edmond J. Safra Center for Bioinformatics Distinguished Speaker Series
You are cordially invited to a talk in the Edmond J. Safra Center for Bioinformatics Distinguished Speaker Series. The speaker is Prof. Alfonso Valencia, Spanish National Cancer Research Centre, CNIO. Title: "A mESC epigenetics network that combines chromatin localization data and evolutionary information" Time: Wednesday, November 11 2015, at 11:00 (refreshments from 10:50) Place: Green building seminar room, ground floor, Biotechnology Department. Host: Prof. Ron Shamir, [email protected], School of Computer Science Abstract: The description of biological systems in terms of networks is by now a well- accepted paradigm. Networks offer the possibility of combining complex information and the system to analyse the properties of individual components in relation to the ones of their interaction partners. In this context, we have analysed the relations between the known components of mouse Embryonic Stem Cells (mESC) epigenome at two orthogonal levels of information, i.e., co-localization in the genome and concerted evolution (co-evolution). Public repositories contain results of ChIP-Seq experiments for more than 60 Chromatin Related Proteins (CRPs), 14 for Histone modifications, and three different types of DNA methylation, including 5-Hydroxymethylcytosine (5hmc). All this information can be summarized in a network in which the nodes are the CRPs, histone marks and DNA modifications and the arcs connect components that significantly co-localize in the genome. In this network co-localization preferences are specific of chromatin states, such as promoters and enhancers. A second network was build by connecting proteins that are part of the mESC epigenetic regulatory system and show signals of co-evolution (concerted evolution of the CRPs protein families). -
ISCB's Initial Reaction to the New England Journal of Medicine
MESSAGE FROM ISCB ISCB’s Initial Reaction to The New England Journal of Medicine Editorial on Data Sharing Bonnie Berger, Terry Gaasterland, Thomas Lengauer, Christine Orengo, Bruno Gaeta, Scott Markel, Alfonso Valencia* International Society for Computational Biology, Inc. (ISCB) * [email protected] The recent editorial by Drs. Longo and Drazen in The New England Journal of Medicine (NEJM) [1] has stirred up quite a bit of controversy. As Executive Officers of the International Society of Computational Biology, Inc. (ISCB), we express our deep concern about the restric- tive and potentially damaging opinions voiced in this editorial, and while ISCB works to write a detailed response, we felt it necessary to promptly address the editorial with this reaction. While some of the concerns voiced by the authors of the editorial are worth considering, large parts of the statement purport an obsolete view of hegemony over data that is neither in line with today’s spirit of open access nor furthering an atmosphere in which the potential of data can be fully realized. ISCB acknowledges that the additional comment on the editorial [2] eases some of the polemics, but unfortunately it does so without addressing some of the core issues. We still feel, however, that we need to contrast the opinion voiced in the editorial with what we consider the axioms of our scientific society, statements that lead into a fruitful future of data-driven science: • Data produced with public money should be public in benefit of the science and society • Restrictions to the use of public data hamper science and slow progress OPEN ACCESS • Open data is the best way to combat fraud and misinterpretations Citation: Berger B, Gaasterland T, Lengauer T, Orengo C, Gaeta B, Markel S, et al.