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RECENT ADVANCES in BIOLOGY, BIOPHYSICS, BIOENGINEERING and COMPUTATIONAL CHEMISTRY
RECENT ADVANCES in BIOLOGY, BIOPHYSICS, BIOENGINEERING and COMPUTATIONAL CHEMISTRY Proceedings of the 5th WSEAS International Conference on CELLULAR and MOLECULAR BIOLOGY, BIOPHYSICS and BIOENGINEERING (BIO '09) Proceedings of the 3rd WSEAS International Conference on COMPUTATIONAL CHEMISTRY (COMPUCHEM '09) Puerto De La Cruz, Tenerife, Canary Islands, Spain December 14-16, 2009 Recent Advances in Biology and Biomedicine A Series of Reference Books and Textbooks Published by WSEAS Press ISSN: 1790-5125 www.wseas.org ISBN: 978-960-474-141-0 RECENT ADVANCES in BIOLOGY, BIOPHYSICS, BIOENGINEERING and COMPUTATIONAL CHEMISTRY Proceedings of the 5th WSEAS International Conference on CELLULAR and MOLECULAR BIOLOGY, BIOPHYSICS and BIOENGINEERING (BIO '09) Proceedings of the 3rd WSEAS International Conference on COMPUTATIONAL CHEMISTRY (COMPUCHEM '09) Puerto De La Cruz, Tenerife, Canary Islands, Spain December 14-16, 2009 Recent Advances in Biology and Biomedicine A Series of Reference Books and Textbooks Published by WSEAS Press www.wseas.org Copyright © 2009, by WSEAS Press All the copyright of the present book belongs to the World Scientific and Engineering Academy and Society Press. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the Editor of World Scientific and Engineering Academy and Society Press. All papers of the present volume were peer reviewed -
Algorithms for Computational Biology 8Th International Conference, Alcob 2021 Missoula, MT, USA, June 7–11, 2021 Proceedings
Lecture Notes in Bioinformatics 12715 Subseries of Lecture Notes in Computer Science Series Editors Sorin Istrail Brown University, Providence, RI, USA Pavel Pevzner University of California, San Diego, CA, USA Michael Waterman University of Southern California, Los Angeles, CA, USA Editorial Board Members Søren Brunak Technical University of Denmark, Kongens Lyngby, Denmark Mikhail S. Gelfand IITP, Research and Training Center on Bioinformatics, Moscow, Russia Thomas Lengauer Max Planck Institute for Informatics, Saarbrücken, Germany Satoru Miyano University of Tokyo, Tokyo, Japan Eugene Myers Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany Marie-France Sagot Université Lyon 1, Villeurbanne, France David Sankoff University of Ottawa, Ottawa, Canada Ron Shamir Tel Aviv University, Ramat Aviv, Tel Aviv, Israel Terry Speed Walter and Eliza Hall Institute of Medical Research, Melbourne, VIC, Australia Martin Vingron Max Planck Institute for Molecular Genetics, Berlin, Germany W. Eric Wong University of Texas at Dallas, Richardson, TX, USA More information about this subseries at http://www.springer.com/series/5381 Carlos Martín-Vide • Miguel A. Vega-Rodríguez • Travis Wheeler (Eds.) Algorithms for Computational Biology 8th International Conference, AlCoB 2021 Missoula, MT, USA, June 7–11, 2021 Proceedings 123 Editors Carlos Martín-Vide Miguel A. Vega-Rodríguez Rovira i Virgili University University of Extremadura Tarragona, Spain Cáceres, Spain Travis Wheeler University of Montana Missoula, MT, USA ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Bioinformatics ISBN 978-3-030-74431-1 ISBN 978-3-030-74432-8 (eBook) https://doi.org/10.1007/978-3-030-74432-8 LNCS Sublibrary: SL8 – Bioinformatics © Springer Nature Switzerland AG 2021 This work is subject to copyright. -
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 -
2015 Wattiezm Memoire
Institutional Repository - Research Portal Dépôt Institutionnel - Portail de la Recherche University of Namurresearchportal.unamur.be THESIS / THÈSE MASTER IN COMPUTER SCIENCE Design of a support system for modelling gene regulatory networks Author(s) - Auteur(s) : Wattiez, Morgan Award date: 2015 Awarding institution: University of Namur Supervisor - Co-Supervisor / Promoteur - Co-Promoteur : Link to publication Publication date - Date de publication : Permanent link - Permalien : Rights / License - Licence de droit d’auteur : General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. BibliothèqueDownload date: Universitaire 04. oct.. 2021 Moretus Plantin University of Namur Faculty of Computer Science Academic Year 2014{2015 Design of a support system for modelling gene regulatory networks Morgan WATTIEZ Supervisor: (Signed for Release Approval Jean-Marie JACQUET Study Rules art. 40) Thesis submitted in partial fulfillment of the requirements for the degree of Master in Computer Science at the University of Namur Abstract The understanding of gene regulatory networks depends upon the solving of ques- tions related to the interactions in those networks. -
Complete Vertebrate Mitogenomes Reveal Widespread Gene Duplications and Repeats
bioRxiv preprint doi: https://doi.org/10.1101/2020.06.30.177956; this version posted July 1, 2020. 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. Complete vertebrate mitogenomes reveal widespread gene duplications and repeats Giulio Formenti+*1,2,3, Arang Rhie4, Jennifer Balacco1, Bettina Haase1, Jacquelyn Mountcastle1, Olivier Fedrigo1, Samara Brown2,3, Marco Capodiferro5, Farooq O. Al-Ajli6,7,8, Roberto Ambrosini9, Peter Houde10, Sergey Koren4, Karen Oliver11, Michelle Smith11, Jason Skelton11, Emma Betteridge11, Jale Dolucan11, Craig Corton11, Iliana Bista11, James Torrance11, Alan Tracey11, Jonathan Wood11, Marcela Uliano-Silva11, Kerstin Howe11, Shane McCarthy12, Sylke Winkler13, Woori Kwak14, Jonas Korlach15, Arkarachai Fungtammasan16, Daniel Fordham17, Vania Costa17, Simon Mayes17, Matteo Chiara18, David S. Horner18, Eugene Myers13, Richard Durbin12, Alessandro Achilli5, Edward L. Braun19, Adam M. Phillippy4, Erich D. Jarvis*1,2,3, and The Vertebrate Genomes Project Consortium +First author *Corresponding authors; [email protected]; [email protected] Author affiliations 1. The Vertebrate Genome Lab, Rockefeller University, New York, NY, USA 2. Laboratory of Neurogenetics of Language, Rockefeller University, New York, NY, USA 3. The Howards Hughes Medical Institute, Chevy Chase, MD, USA 4. Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA 5. Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, Pavia, Italy 6. Monash University Malaysia Genomics Facility, School of Science, Selangor Darul Ehsan, Malaysia 7. -
PROGRAM CHAIR: Eben Rosenthal, MD PROFFERED PAPERS CHAIR: Ellie Maghami, MD POSTER CHAIR: Maie St
AHNS 10TH INTERNATIONAL CONFERENCE ON HEAD & NECK CANCER “Survivorship through Quality & Innovation” JULY 22-25, 2021 • VIRTUAL CONFERENCE AHNS PRESIDENT: Cherie-Ann Nathan, MD, FACS CONFERENCE/DEVELOPMENT CHAIR: Robert Ferris, MD, PhD PROGRAM CHAIR: Eben Rosenthal, MD PROFFERED PAPERS CHAIR: Ellie Maghami, MD POSTER CHAIR: Maie St. John, MD Visit www.ahns2021.org for more information. WELCOME LETTER Dear Colleagues, The American Head and Neck Society (AHNS) is pleased to invite you to the virtual AHNS 10th International Conference on Head and Neck Cancer, which will be held July 22-25, 2021. The theme is Survivorship through Quality & Innovation and the scientific program has been thoughtfully designed to bring together all disciplines related to the treatment of head and neck cancer. Our assembled group of renowned head and neck surgeons, radiologists and oncologists have identified key areas of interest and major topics for us to explore. The entire conference will be presented LIVE online July 22-25, 2021. We encourage you to attend the live sessions in order to engage with the faculty and your colleagues. After the live meeting, all of the meeting content will be posted on the conference site and remain open for on-demand viewing through October 1, 2021. Attendees may earn up to 42.25 AMA PRA Category 1 Credit(s)TM as well as earn re- quired annual part II self-assessment credit in the American Board of Otolaryngology – Head and Neck Surgery’s Continu- ing Certification program (formerly known as MOC). At the conclusion of the activity, -
Gene Regulatory Network Inference Using Machine Learning Techniques
GENE REGULATORY NETWORK INFERENCE USING MACHINE LEARNING TECHNIQUES Stephanie Kamgnia Wonkap A Thesis in the department of Computer Science and Software Engineering Presented in Partial Fulfillment of the Requirements For the Degree of Doctor of Philosophy(Computer Science) Concordia University Montreal,´ Quebec,´ Canada August 26 2020 c Stephanie Kamgnia Wonkap, 2020 Concordia University School of Graduate Studies This is to certify that the thesis prepared By: Miss. Stephanie Kamgnia Wonkap Entitled: Gene Regulatory Network Inference using Machine Learning Techniques and submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (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 committee: Chair Dr. Liangzhu Wang External Examiner Dr. Mathieu Blanchette Examiner Dr. Leila Kosseim Examiner Dr. Malcolm Whiteway Examiner Dr. Volker Haarslev Supervisor Dr. Gregory Butler Approved Dr. Leila Kosseim, Graduate Program Director August 26th, 2020 Dr. Amir Asif, Dean Date of Defence Faculty of Engineering and Computer Science Abstract Gene Regulatory Network Inference using Machine Learning Techniques Stephanie Kamgnia Wonkap, Ph.D. Concordia University, 2020 Systems Biology is a field that models complex biological systems in order to better understand the working of cells and organisms. One of the systems modeled is the gene regulatory network that plays the critical role of controlling an organism's response to changes in its environment. Ideally, we would like a model of the complete gene regulatory network. In recent years, several advances in technology have permitted the collection of an unprecedented amount and variety of data such as genomes, gene expression data, time-series data, and perturbation data. -
Statistic Models in Biological Network Analysis
Statistic Models in Biological Network Analysis WANLU LIU and AUSTIN QUACH, University of California, Los Angeles As the development of high throughput technology, it becomes more and more important for us to look at the behavior of genes, proteins and metabolites at whole genome level. Instead of studying a single gene, by understanding biological process at network level, we can shed light on some new mechanisms in both developmental processes and diseases. Modeling of these networks is an important challenge in the post genomic era. Several statistical models have been applied to analysis the biological networks including logic-based models, continuous models and correlation-based models. In this review, we focus on the di↵erent methods for reconstructing biological networks and analysis of their functionality. Categories and Subject Descriptors: I.5.1 [Networks Analysis]: Models—Biological Networks General Terms: Network Analysis Additional Key Words and Phrases: Biological Network, Statistic Models, Network Construction, Network Analysis 1. INTRODUCTION In the post-genomic era, genome-wide experiments have become commonplace and methods to inter- rogate such datasets are becomingly increasingly important. One approach to analyzing these large datasets is to model the experimental observations using a network approach. In a process known as (re)construction, inference, identification or reverse engineering, model parameters are fit to the data yielding a defined network that can then be analyzed to gain higher level insights into the com- plex molecular biology. Network biology is an expansive field and there are many different methods that are employed. In this survey paper we briefly review the frameworks of several popular mod- eling methods including logical models, boolean networks, Bayesian networks, weighted correlation networks, differential equations, and some basic network analysis concepts. -
PSB 2009 Attendees (As of January 9, 2009) Mario Albrecht Max Planck
PSB 2009 Attendees (as of January 9, 2009) Mario Albrecht Steven Brenner Max Planck Institute for Informatics University of California, Berkeley Hesham Ali Andrzej Brodzik University of Nebraska at Omaha The MITRE Corporation Gil Alterovitz Lukas Burger Harvard/MIT Institute of Bioinformatics, University of Basel Gregory Arnold Amgen Gregory Burrows OHSU Adam Asare UCSF/ITN William Bush Vanderbilt University Pierre Baldi University of California Andrea Califano Columbia University Lars Barquist UC Berkeley J. Gregory Caporaso Univeristy of Colorado Denver James Bassingthwaighte Univeristy of Washington Vincent Carey Harvard Medical School Tanya Berger-Wolf University of Illinois at Chicago Yuhui Cheng University of California, San Diego Ghislain Bidaut INSERM U891 Institut Paoli-Calmette Raymond Cheong Johns Hopkins University Marco Blanchette Stowers Institute for Medical Research Annie Chiang Stanford University Ben Blencowe Gilsoo Cho Anthony Bonner Yonsei University University of Toronto Sung Bum Cho Ingrid Borecki Seoul National University Bioinformatics Washington University Kevin Cohen John Bouck University of Colorado Denver Ceres, Inc. Dilek Colak Philip Bourne King Faisal Specialist Hospital and University of California, San Diego Research Centre PSB 2009 Attendees (as of January 9, 2009) James Costello Laura Elnitski Indiana University NHGRI Anneleen Daemen Drew Endy Dept. Electrical Engineering, KULeuven Stanford University Denise Daley Eric Fahrenthold University of British Columbia Yiping Fan Paul Davis St Jude Children's -
The Johns Hopkins University
THE JOHNS HOPKINS UNIVERSITY COMMENCEMENT 2019 Conferring of degrees at the close of the 143rd academic year MAY 23, 2019 CONTENTS Order of Candidate Procession ......................................................... 11 Order of Procession .......................................................................... 12 Order of Events ................................................................................. 13 Conferring of Degrees ....................................................................... 14 Honorary Degrees ............................................................................. 17 Academic Garb .................................................................................. 14 Awards ............................................................................................... 16 Honor Societies ................................................................................. 28 Student Honors ................................................................................. 34 Candidates for Degrees ..................................................................... 43 Divisional Ceremonies Information ............................................... 121 Please note that while all degrees are conferred, only doctoral and bachelor’s graduates process across the stage. Taking photos from your seats during the ceremony is allowed, but we request that guests respect one another’s comfort and enjoyment by not standing and blocking other people’s views. Photos of graduates can be purchased from GradImages®: gradimages.com -
Csb2009 August 10-13, 2009 Stanford, California
CALL FOR PAPERS COMPUTATIONAL SYSTEMS BIOINFORMATICS CSB2009 AUGUST 10-13, 2009 STANFORD, CALIFORNIA You are invited to submit papers to the 2009 Life Sciences Society Computational Systems Bioinformatics Conference (CSB2009). The conference’s goal is to facilitate exchange of ideas and collaborations between computational scientists and biologists by presenting cutting-edge computational and systems biology research findings. Such research has an interdisciplinary character. Computer science and mathematical modeling papers must contain a concise description of the biological problem being solved, and biology papers should show how computation or analysis affects the results. Topics of interest include (but are not limited to): • Sequence comparison • Functional Genomics • Promoter Analysis and Discovery • Comparative Genomics • Biological Data Mining and Visualization • Proteomic Data Analysis • Evolution and Phylogenetics • Metagenomics • Protein Structures and Complexes • Drug Discovery • Microarray Data Analysis • Chemical Genetics • Pathways, Networks, Systems Biology • RNAi • SNPs and Haplotyping • Bioenergy • Biological Literature Mining • MicroRNA • Executable Biology • Biomedical Applications • Mathematical and quantitative models of • Translational Research cellular and multicellular systems • Microbial community analysis • High Performance Bio-Computing • Synthetic Biological Systems Papers are limited to 12 pages, single-spaced, in 12-point type, including title, abstract (250 words or less), figures, tables, text, and bibliography. The first page should give keywords, authors’ postal and electronic mailing addresses. Papers must not have been previously published and must not be currently under consideration for publication elsewhere. Papers will be submitted electronically in MS Word, postscript or PDF format. Papers will have 25 minutes of presentation time. Paper submissions can be made at the site http://csbl.bmb.uga.edu/conference/CSB2009/webconf/ Medline indexes papers appearing in CSB Proceedings. -
LNBI 9044), Entitled “Advances on Computational Intelligence
Lecture Notes in Bioinformatics 9044 Subseries of Lecture Notes in Computer Science LNBI Series Editors Sorin Istrail Brown University, Providence, RI, USA Pavel Pevzner University of California, San Diego, CA, USA Michael Waterman University of Southern California, Los Angeles, CA, USA LNBI Editorial Board Alberto Apostolico Georgia Institute of Technology, Atlanta, GA, USA Søren Brunak Technical University of Denmark Kongens Lyngby, Denmark Mikhail S. Gelfand IITP, Research and Training Center on Bioinformatics, Moscow, Russia Thomas Lengauer Max Planck Institute for Informatics, Saarbrücken, Germany Satoru Miyano University of Tokyo, Japan Eugene Myers Max Planck Institute of Molecular Cell Biology and Genetics Dresden, Germany Marie-France Sagot Université Lyon 1, Villeurbanne, France David Sankoff University of Ottawa, Canada Ron Shamir Tel Aviv University, Ramat Aviv, Tel Aviv, Israel Terry Speed Walter and Eliza Hall Institute of Medical Research Melbourne, VIC, Australia Martin Vingron Max Planck Institute for Molecular Genetics, Berlin, Germany W. Eric Wong University of Texas at Dallas, Richardson, TX, USA Francisco Ortuño Ignacio Rojas (Eds.) Bioinformatics and Biomedical Engineering Third International Conference, IWBBIO 2015 Granada, Spain, April 15-17, 2015 Proceedings, Part II 13 Volume Editors Francisco Ortuño Ignacio Rojas Universidad de Granada Dpto. de Arquitectura y Tecnología de Computadores (ATC) E.T.S. de Ingenierías en Informática y Telecomunicación, CITIC-UGR Granada, Spain E-mail: {fortuno, irojas}@ugr.es ISSN 0302-9743 e-ISSN 1611-3349 ISBN 978-3-319-16479-3 e-ISBN 978-3-319-16480-9 DOI 10.1007/978-3-319-16480-9 Springer Cham Heidelberg New York Dordrecht London Library of Congress Control Number: 2015934926 LNCS Sublibrary: SL 8 – Bioinformatics © Springer International Publishing Switzerland 2015 This work is subject to copyright.