Curriculum Vitae KIMMEN SJÖLANDER, PHD Amsterdam
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Applied Category Theory for Genomics – an Initiative
Applied Category Theory for Genomics { An Initiative Yanying Wu1,2 1Centre for Neural Circuits and Behaviour, University of Oxford, UK 2Department of Physiology, Anatomy and Genetics, University of Oxford, UK 06 Sept, 2020 Abstract The ultimate secret of all lives on earth is hidden in their genomes { a totality of DNA sequences. We currently know the whole genome sequence of many organisms, while our understanding of the genome architecture on a systematic level remains rudimentary. Applied category theory opens a promising way to integrate the humongous amount of heterogeneous informations in genomics, to advance our knowledge regarding genome organization, and to provide us with a deep and holistic view of our own genomes. In this work we explain why applied category theory carries such a hope, and we move on to show how it could actually do so, albeit in baby steps. The manuscript intends to be readable to both mathematicians and biologists, therefore no prior knowledge is required from either side. arXiv:2009.02822v1 [q-bio.GN] 6 Sep 2020 1 Introduction DNA, the genetic material of all living beings on this planet, holds the secret of life. The complete set of DNA sequences in an organism constitutes its genome { the blueprint and instruction manual of that organism, be it a human or fly [1]. Therefore, genomics, which studies the contents and meaning of genomes, has been standing in the central stage of scientific research since its birth. The twentieth century witnessed three milestones of genomics research [1]. It began with the discovery of Mendel's laws of inheritance [2], sparked a climax in the middle with the reveal of DNA double helix structure [3], and ended with the accomplishment of a first draft of complete human genome sequences [4]. -
Gene Prediction: the End of the Beginning Comment Colin Semple
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by PubMed Central http://genomebiology.com/2000/1/2/reports/4012.1 Meeting report Gene prediction: the end of the beginning comment Colin Semple Address: Department of Medical Sciences, Molecular Medicine Centre, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, UK. E-mail: [email protected] Published: 28 July 2000 reviews Genome Biology 2000, 1(2):reports4012.1–4012.3 The electronic version of this article is the complete one and can be found online at http://genomebiology.com/2000/1/2/reports/4012 © GenomeBiology.com (Print ISSN 1465-6906; Online ISSN 1465-6914) Reducing genomes to genes reports A report from the conference entitled Genome Based Gene All ab initio gene prediction programs have to balance sensi- Structure Determination, Hinxton, UK, 1-2 June, 2000, tivity against accuracy. It is often only possible to detect all organised by the European Bioinformatics Institute (EBI). the real exons present in a sequence at the expense of detect- ing many false ones. Alternatively, one may accept only pre- dictions scoring above a more stringent threshold but lose The draft sequence of the human genome will become avail- those real exons that have lower scores. The trick is to try and able later this year. For some time now it has been accepted increase accuracy without any large loss of sensitivity; this deposited research that this will mark a beginning rather than an end. A vast can be done by comparing the prediction with additional, amount of work will remain to be done, from detailing independent evidence. -
Proquest Dissertations
Automated learning of protein involvement in pathogenesis using integrated queries Eithon Cadag A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2009 Program Authorized to Offer Degree: Department of Medical Education and Biomedical Informatics UMI Number: 3394276 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. UMI Dissertation Publishing UMI 3394276 Copyright 2010 by ProQuest LLC. All rights reserved. This edition of the work is protected against unauthorized copying under Title 17, United States Code. uest ProQuest LLC 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, Ml 48106-1346 University of Washington Graduate School This is to certify that I have examined this copy of a doctoral dissertation by Eithon Cadag and have found that it is complete and satisfactory in all respects, and that any and all revisions required by the final examining committee have been made. Chair of the Supervisory Committee: Reading Committee: (SjLt KJ. £U*t~ Peter Tgffczy-Hornoch In presenting this dissertation in partial fulfillment of the requirements for the doctoral degree at the University of Washington, I agree that the Library shall make its copies freely available for inspection. I further agree that extensive copying of this dissertation is allowable only for scholarly purposes, consistent with "fair use" as prescribed in the U.S. -
Meeting Review: Bioinformatics and Medicine – from Molecules To
Comparative and Functional Genomics Comp Funct Genom 2002; 3: 270–276. Published online 9 May 2002 in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/cfg.178 Feature Meeting Review: Bioinformatics And Medicine – From molecules to humans, virtual and real Hinxton Hall Conference Centre, Genome Campus, Hinxton, Cambridge, UK – April 5th–7th Roslin Russell* MRC UK HGMP Resource Centre, Genome Campus, Hinxton, Cambridge CB10 1SB, UK *Correspondence to: Abstract MRC UK HGMP Resource Centre, Genome Campus, The Industrialization Workshop Series aims to promote and discuss integration, automa- Hinxton, Cambridge CB10 1SB, tion, simulation, quality, availability and standards in the high-throughput life sciences. UK. The main issues addressed being the transformation of bioinformatics and bioinformatics- based drug design into a robust discipline in industry, the government, research institutes and academia. The latest workshop emphasized the influence of the post-genomic era on medicine and healthcare with reference to advanced biological systems modeling and simulation, protein structure research, protein-protein interactions, metabolism and physiology. Speakers included Michael Ashburner, Kenneth Buetow, Francois Cambien, Cyrus Chothia, Jean Garnier, Francois Iris, Matthias Mann, Maya Natarajan, Peter Murray-Rust, Richard Mushlin, Barry Robson, David Rubin, Kosta Steliou, John Todd, Janet Thornton, Pim van der Eijk, Michael Vieth and Richard Ward. Copyright # 2002 John Wiley & Sons, Ltd. Received: 22 April 2002 Keywords: bioinformatics; -
Trancep: Predicting Transmembrane Transport Proteins Using Composition, Evolutionary, and Positional Information
bioRxiv preprint doi: https://doi.org/10.1101/293159; this version posted April 2, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. TranCEP: Predicting transmembrane transport proteins using composition, evolutionary, and positional information Munira Alballa1, Faizah Aplop2, Gregory Butler1,3* 1 Department of Computer Science and Software Engineering, Concordia University, Montr´eal, Qu´ebec, Canada 2 School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, Malaysia 3 Centre for Structural and Functional Genomics, Concordia University, Montr´eal,Qu´ebec, Canada * [email protected] Abstract Transporters mediate the movement of compounds across the membranes that separate the cell from its environment, and across inner membranes surrounding cellular compartments. It is estimated that one third of a proteome consists of membrane proteins, and many of these are transport proteins. Given the increase in the number of genomes being sequenced, there is a need for computation tools that predict the substrates which are transported by the transmembrane transport proteins. In this paper, we present TranCEP, a predictor of the type of substrate transported by a transmembrane transport protein. TranCEP combines the traditional use of the amino acid composition of the protein, with evolutionary information captured in a multiple sequence alignment, and restriction to important positions of the alignment that play a role in determining specificity of the protein. Our experimental results show that TranCEP significantly outperforms the state of the art. -
UNIVERSITY of CALIFORNIA SAN DIEGO Making Sense of Microbial
UNIVERSITY OF CALIFORNIA SAN DIEGO Making sense of microbial populations from representative samples A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Computer Science by James T. Morton Committee in charge: Professor Rob Knight, Chair Professor Pieter Dorrestein Professor Rachel Dutton Professor Yoav Freund Professor Siavash Mirarab 2018 Copyright James T. Morton, 2018 All rights reserved. The dissertation of James T. Morton is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Chair University of California San Diego 2018 iii DEDICATION To my friends and family who paved the road and lit the journey. iv EPIGRAPH The ‘paradox’ is only a conflict between reality and your feeling of what reality ‘ought to be’ —Richard Feynman v TABLE OF CONTENTS Signature Page . iii Dedication . iv Epigraph . .v Table of Contents . vi List of Abbreviations . ix List of Figures . .x List of Tables . xi Acknowledgements . xii Vita ............................................. xiv Abstract of the Dissertation . xvii Chapter 1 Methods for phylogenetic analysis of microbiome data . .1 1.1 Introduction . .2 1.2 Phylogenetic Inference . .4 1.3 Phylogenetic Comparative Methods . .6 1.4 Ancestral State Reconstruction . .9 1.5 Analysis of phylogenetic variables . 11 1.6 Using Phylogeny-Aware Distances . 15 1.7 Challenges of phylogenetic analysis . 18 1.8 Discussion . 19 1.9 Acknowledgements . 21 Chapter 2 Uncovering the horseshoe effect in microbial analyses . 23 2.1 Introduction . 24 2.2 Materials and Methods . 34 2.3 Acknowledgements . 35 Chapter 3 Balance trees reveal microbial niche differentiation . 36 3.1 Introduction . -
Standardised Benchmarking in the Quest for Orthologs
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Harvard University - DASH Standardised Benchmarking in the Quest for Orthologs The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Altenhoff, A. M., B. Boeckmann, S. Capella-Gutierrez, D. A. Dalquen, T. DeLuca, K. Forslund, J. Huerta-Cepas, et al. 2016. “Standardised Benchmarking in the Quest for Orthologs.” Nature methods 13 (5): 425-430. doi:10.1038/nmeth.3830. http://dx.doi.org/10.1038/ nmeth.3830. Published Version doi:10.1038/nmeth.3830 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:29408292 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Nat Methods Manuscript Author . Author manuscript; Manuscript Author available in PMC 2016 October 04. Published in final edited form as: Nat Methods. 2016 May ; 13(5): 425–430. doi:10.1038/nmeth.3830. Standardised Benchmarking in the Quest for Orthologs Adrian M. Altenhoff1,2, Brigitte Boeckmann3, Salvador Capella-Gutierrez4,5,6, Daniel A. Dalquen7, Todd DeLuca8, Kristoffer Forslund9, Jaime Huerta-Cepas9, Benjamin Linard10, Cécile Pereira11,12, Leszek P. Pryszcz4, Fabian Schreiber13, Alan Sousa da Silva13, Damian Szklarczyk14,15, Clément-Marie Train1, Peer Bork9,16,17, Odile Lecompte18, Christian von Mering14,15, Ioannis Xenarios3,19,20, Kimmen Sjölander21, Lars Juhl Jensen22, Maria J. -
Microblogging the ISMB: a New Approach to Conference Reporting
Message from ISCB Microblogging the ISMB: A New Approach to Conference Reporting Neil Saunders1*, Pedro Beltra˜o2, Lars Jensen3, Daniel Jurczak4, Roland Krause5, Michael Kuhn6, Shirley Wu7 1 School of Molecular and Microbial Sciences, University of Queensland, St. Lucia, Brisbane, Queensland, Australia, 2 Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California, United States of America, 3 Novo Nordisk Foundation Center for Protein Research, Panum Institute, Copenhagen, Denmark, 4 Department of Bioinformatics, University of Applied Sciences, Hagenberg, Freistadt, Austria, 5 Max-Planck-Institute for Molecular Genetics, Berlin, Germany, 6 European Molecular Biology Laboratory, Heidelberg, Germany, 7 Stanford Medical Informatics, Stanford University, Stanford, California, United States of America Cameron Neylon entitled FriendFeed for Claire Fraser-Liggett opened the meeting Scientists: What, Why, and How? (http:// with a review of metagenomics and an blog.openwetware.org/scienceintheopen/ introduction to the human microbiome 2008/06/12/friendfeed-for-scientists-what- project (http://friendfeed.com/search?q = why-and-how/) for an introduction. room%3Aismb-2008+microbiome+OR+ We—a group of science bloggers, most fraser). The subsequent Q&A session of whom met in person for the first time at covered many of the exciting challenges The International Conference on Intel- ISMB 2008—found FriendFeed a remark- for those working in this field. Clearly, ligent Systems for Molecular Biology -
Multiscale Modeling in Systems Biology
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 2051 Multiscale Modeling in Systems Biology Methods and Perspectives ADRIEN COULIER ACTA UNIVERSITATIS UPSALIENSIS ISSN 1651-6214 ISBN 978-91-513-1225-5 UPPSALA URN urn:nbn:se:uu:diva-442412 2021 Dissertation presented at Uppsala University to be publicly examined in 2446 ITC, Lägerhyddsvägen 2, Uppsala, Friday, 10 September 2021 at 10:15 for the degree of Doctor of Philosophy. The examination will be conducted in English. Faculty examiner: Professor Mark Chaplain (University of St Andrews). Abstract Coulier, A. 2021. Multiscale Modeling in Systems Biology. Methods and Perspectives. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 2051. 60 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-1225-5. In the last decades, mathematical and computational models have become ubiquitous to the field of systems biology. Specifically, the multiscale nature of biological processes makes the design and simulation of such models challenging. In this thesis we offer a perspective on available methods to study and simulate such models and how they can be combined to handle biological processes evolving at different scales. The contribution of this thesis is threefold. First, we introduce Orchestral, a multiscale modular framework to simulate multicellular models. By decoupling intracellular chemical kinetics, cell-cell signaling, and cellular mechanics by means of operator-splitting, it is able to combine existing software into one massively parallel simulation. Its modular structure makes it easy to replace its components, e.g. to adjust the level of modeling details. We demonstrate the scalability of our framework on both high performance clusters and in a cloud environment. -
OMA, a Comprehensive, Automated Project for the Identification of Orthologs from Complete Genome Data: Introduction and First Achievements
OMA, A Comprehensive, Automated Project for the Identification of Orthologs from Complete Genome Data: Introduction and First Achievements Christophe Dessimoz, Gina Cannarozzi, Manuel Gil, Daniel Margadant, Alexander Roth, Adrian Schneider, and Gaston H. Gonnet ETH Zurich, Institute of Computational Science, CH-8092 Z¨urich [email protected] Abstract. The OMA project is a large-scale effort to identify groups of orthologs from complete genome data, currently 150 species. The algo- rithm relies solely on protein sequence information and does not require any human supervision. It has several original features, in particular a verification step that detects paralogs and prevents them from being clustered together. Consistency checks and verification are performed throughout the process. The resulting groups, whenever a comparison could be made, are highly consistent both with EC assignments, and with assignments from the manually curated database HAMAP. A highly ac- curate set of orthologous sequences constitutes the basis for several other investigations, including phylogenetic analysis and protein classification. Complete genomes give scientists a valuable resource to assign functions to se- quences and to analyze their evolutionary history. These analyses rely heavily on gene comparison through sequence alignment algorithms that output the level of similarity, which gives an indication of homology. When homologous sequences are of interest, care must often be taken to distinguish between orthologous and paralogous proteins [1]. Both orthologs and paralogs come from the same ancestral sequence, and therefore are homologous, but they differ in the way they arise: paralogous se- quences are the product of gene duplication, while orthologous sequences are the product of speciation. -
The Ethos and Effects of Data-Sharing Rules: Examining The
Informed consent for: "The ethos and effects of data-sharing rules: Examining the history of the 'Bermuda principles' and their effects on 21 st century science" University of Adelaide Duke University Researchers at the University of Adelaide, Australia, and the IGSP Center for Genome Ethics, Law & Policy, Duke University, are engaged in research on the Bermuda Principles for sharing DNA sequence data from high-volume sequencing centers. You have been selected for an interview because we believe that the recollections you may have of your experiences with the International Strategy Meetings for Human Genome Sequencing (1996-1998) will be interesting and helpful for our project. We expect that interviews will last from 30 minutes to much longer, but you may stop your interview at any time. Your participation is strictly voluntary, and you do not have to answer every question asked. Your interview is being recorded and we may take written notes during the interview. After your interview, we may prepare a typed transcript of the interview. If we prepare a transcript, you will have an opportunity to review it and to make deletions and corrections. Unless you indicate otherwise, the information that you provide in this interview will be "on the record"-that is, it can be attributed to you in the various articles and chapters that we plan to write, and thus could become public through these channels. Jf, however, at some point in the interview you want to provide us with information that might be useful for us to know, but which you do not want to have attributed to you, you should tell us that you wish to go "off the record" and we will stop the recording. -
ISMB 99 August 6 – 10, 1999 Heidelberg, Germany the Seventh
______________________________________ Welcome to ISMB 99 August 6 – 10, 1999 Heidelberg, Germany The Seventh International Conference on Intelligent Systems for Molecular Biology ______________________________________ Final Program and Detailed Schedule Friday, August 6, 1999 Tutorial Day The tutorials will take place in the following rooms: 8:30 – 12:30 (Coffee break around 10:30) Tutorial #1 Trübnersaal Piere Baldi Probabilistic graphical models Tutorial #2 Robert-Schumann-Zimmer Douglas L. Brutlag Bioinformatics and Molecular Biology Tutorial #3 Ballsaal Martin Reese The challenge of annotating a complete eukaryotic genome: A case study in Drosophila melanogaster Tutorial #4 Gustav-Mahler-Zimmer Tandy Warnow Computational and statistical Junhyong Kim challenges involved in reconstructing evolutionary trees Tutorial #5 Sebastian-Münster-Saal Thomas Werner The biology and bioinformatics of regulatory regions in genomes Lunch (on this day served in "Grosser Saal" on the ground floor) 13:30 – 17:30 (Coffee break around 15:30) Tutorial #6 Sebastian-Münster-Saal Rob Miller EST Clustering Alan Christoffels Winston Hide Tutorial #7 Trübnersaal Kevin Karplus Getting the most out of hidden Markov Melissa Cline models Christian Barrett Tutorial #8 Robert-Schumann-Zimmer Arthur Lesk Sequence-structure relationships and evolutionary structure changes in proteins Tutorial #9 Gustav-Mahler-Zimmer David States PERL abstractions for databases and Brian Dunford distributed computing Shore Tutorial # 10 Ballsaal Zoltan Szallasi Genetic network analysis