BOSC 2013 Berlin, Germany July 19-20, 2013
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Comparative Genomic Analysis of Three Pseudomonas
microorganisms Article Comparative Genomic Analysis of Three Pseudomonas Species Isolated from the Eastern Oyster (Crassostrea virginica) Tissues, Mantle Fluid, and the Overlying Estuarine Water Column Ashish Pathak 1, Paul Stothard 2 and Ashvini Chauhan 1,* 1 Environmental Biotechnology Laboratory, School of the Environment, 1515 S. Martin Luther King Jr. Blvd., Suite 305B, FSH Science Research Center, Florida A&M University, Tallahassee, FL 32307, USA; [email protected] 2 Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G2P5, Canada; [email protected] * Correspondence: [email protected]; Tel.: +1-850-412-5119; Fax: +1-850-561-2248 Abstract: The eastern oysters serve as important keystone species in the United States, especially in the Gulf of Mexico estuarine waters, and at the same time, provide unparalleled economic, ecological, environmental, and cultural services. One ecosystem service that has garnered recent attention is the ability of oysters to sequester impurities and nutrients, such as nitrogen (N), from the estuarine water that feeds them, via their exceptional filtration mechanism coupled with microbially-mediated denitrification processes. It is the oyster-associated microbiomes that essentially provide these myriads of ecological functions, yet not much is known on these microbiota at the genomic scale, especially from warm temperate and tropical water habitats. Among the suite of bacterial genera that appear to interplay with the oyster host species, pseudomonads deserve further assessment because Citation: Pathak, A.; Stothard, P.; of their immense metabolic and ecological potential. To obtain a comprehensive understanding on Chauhan, A. Comparative Genomic this aspect, we previously reported on the isolation and preliminary genomic characterization of Analysis of Three Pseudomonas Species three Pseudomonas species isolated from minced oyster tissue (P. -
Three New Genome Assemblies Support a Rapid Radiation in Musa Acuminata (Wild Banana)
GBE Three New Genome Assemblies Support a Rapid Radiation in Musa acuminata (Wild Banana) Mathieu Rouard1,*, Gaetan Droc2,3, Guillaume Martin2,3,JulieSardos1, Yann Hueber1, Valentin Guignon1, Alberto Cenci1,Bjo¨rnGeigle4,MarkS.Hibbins5,6, Nabila Yahiaoui2,3, Franc-Christophe Baurens2,3, Vincent Berry7,MatthewW.Hahn5,6, Angelique D’Hont2,3,andNicolasRoux1 1Bioversity International, Parc Scientifique Agropolis II, Montpellier, France 2CIRAD, UMR AGAP, Montpellier, France 3AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, France 4Computomics GmbH, Tuebingen, Germany 5Department of Biology, Indiana University 6Department of Computer Science, Indiana University 7LIRMM, Universite de Montpellier, CNRS, Montpellier, France *Corresponding author: E-mail: [email protected]. Accepted: October 10, 2018 Data deposition: Raw sequence reads for de novo assemblies were deposited in the Sequence Read Archive (SRA) of the National Center for Biotechnology Information (NCBI) (BioProject: PRJNA437930 and SRA: SRP140622). Genome Assemblies and gene annotation data are available on the Banana Genome Hub (Droc G, Lariviere D, Guignon V, Yahiaoui N, This D, Garsmeur O, Dereeper A, Hamelin C, Argout X, Dufayard J-F, Lengelle J, Baurens F–C, Cenci A, Pitollat B, D’Hont A, Ruiz M, Rouard M, Bocs S. The Banana Genome Hub. Database (2013) doi:10.1093/ database/bat035) (http://banana-genome-hub.southgreen.fr/species-list). Cluster and gene tree results are available on a dedicated database (http://panmusa.greenphyl.org) hosted on the South Green Bioinformatics Platform (Guignon et al. 2016). Additional data sets are made available on Dataverse: https://doi.org/10.7910/DVN/IFI1QU. Abstract Edible bananas result from interspecific hybridization between Musa acuminata and Musa balbisiana,aswellasamongsubspeciesin M. -
Introduction to Bioinformatics Software and Computing Infrastructures
I have all this data – now what? Introduction to Bioinformatics Software and Computing Infrastructures Timothy Stockwell (JCVI) Vivien Dugan (NIAID/NIH) Bioinformatics • Bioinformatics Deals with methods for managing and analyzing biological data. Focus on using software to generate useful biological knowledge. • Bioinformatics for Sequencing and Genomics Sample tracking, LIMS (lab process tracking). Sequencing and assembly Genome annotation (structural and functional) Cross-genome comparisons My NGS run finished….. DATA OVERLOAD!!! DATA OVERLOAD!!! DATA OVERLOAD!!! Genomics Resources • General resources • Genomics resources • Bioinformatics resources • Pathogen-specific resources USA NIH National Center for Biomedical Information (NCBI) • NCBI – home page, http://www.ncbi.nlm.nih.gov • GenBank – genetic sequence database http://www.ncbi.nlm.nih.gov/genbank • PubMed – database of citations and links to over 22 million biomedical articles http://www.ncbi.nlm.nih.gov/pubmed • BLAST – Basic Local Alignment Search Tool – to search for similar biological sequences http://blast.ncbi.nlm.nih.gov/Blast.cgi Bioinformatics Resource Centers (BRCs) https://vectorbase.org/ http://eupathdb.org/ http://patric.vbi.vt.edu/ http://www.pathogenportal.org/ http://www.viprbrc.org/ http://www.fludb.org/ NIAID Bioinformatics Resource Centers Bioinformatic Services • Community-based Database & Bioinformatics Resource Centers • Partnerships with Infectious Diseases Research and Public Health communities • Genomic, omics, experimental, & clinical metadata -
Informa Tics for Genome Analysis, Biomarkers,And Ta Rget Disco Very
Register by March 14 and Save up to $200! Final Agenda Cambridge Healthtech Institute’s Sixth Annual April 28 – 30, 2008 • World Trade Center • Boston, MA Keynote Presentations by: Concurrent Tracks: • Informatics and IT Infrastructure & Operations • Informatics for Genome Analysis, Biomarkers, and Target Discovery Linda Avey co-Founder • Predictive and in silico Science 23andMe, Inc. • eChemistry Solutions • Clinical and Medical Informatics Joshua Boger, Ph.D. President & Chief Executive Offi cer Keynote Panel: A Must-Attend Event for the Life Vertex Pharmaceuticals, Inc. The Future of Personal Genomics: A special plenary panel discussion featuring George Church,Science Ph.D., Harvard IT Medical& Informatics School Community Dietrich Stephan, Ph.D., Navigenics John Reynders, Ph.D. Jeffrey M. Drazen, M.D., New England Journal of Medicine/Harvard Vice President & Chief Information Offi cer Medical School Johnson & Johnson, Pharma R&D Fred D. Ledley, M.D., Bentley College ...and more 2008 Benjamin Franklin Award EEventvent FFeatures:eatures: presented by Bioinformatics.org • Access All Five Tracks for One Price • Network with 1,500+ Delegates Platinum Sponsors: • Hear 85+ Technology and Scientifi c Presentations • Choose from Four Pre-conference Workshops, the Oracle Life Sciences and Healthcare User Group Meeting, and Symyx Software Symposium 2008 Gold Sponsors: • Attend Bio-IT World’s Best Practices Awards NEW Bronze Sponsor: • Connect with Attendees Using CHI’s Intro-Net Corporate Support: • Participate in the Poster Competition • See the Winners of the following 2008 Awards: Offi cial Publication: Benjamin Franklin Best of Show Lead Sponsoring Publications: Best Practices • View Who’s Who & What’s New in the Exhibit Hall • And Much More! www.Bio-ITWorldExpo.com Organized & Managed by: Cambridge Healthtech Institute 250 First Avenue, Suite 300, Needham, MA 02494 • Phone: 781-972-5400 • Fax: 781-972-5425 • Toll-free in the U.S. -
Biolib: Sharing High Performance Code Between Bioperl, Biopython, Bioruby, R/Bioconductor and Biojava by Pjotr Prins
BioLib: Sharing high performance code between BioPerl, BioPython, BioRuby, R/Bioconductor and BioJAVA by Pjotr Prins Dept. of Nematology, Wageningen University, The Netherlands ([email protected]) website: http://biolib.open-bio.org/ git repository: http://github.com/pjotrp/biolib/ LICENSE: BioLib defaults to the BSD license, embedded libraries may override BioLib provides the infrastructure for mapping existing and novel C/C++ libraries against the major high level languages using a combination of SWIG and cmake. This allows writing code once and sharing it with all bioinformaticians - who, as it happens, are a diverse lot with diverse computing platforms and programming language preferences. Bioinformatics is facing some major challenges handling IO data from microarrays, sequencers etc., where every innovation comes with new data formats and data size increases rapidly. Writing so- lutions in every language domain usually entails duplication of effort. At the same time developers are a scarce resource in every Bio* project. In practice this often means missing or incomplete func- tionality. For example microarray support is only satisfactory in R/Bioconductor, but lacking in all other domains. By mapping libraries using SWIG we can support all languages in one strike, thereby concentrating the effort of supporting IO in one place. BioLib also provides an alternative to webservices. Webservices are often used to cross language barriers using a ’slow’ network interface. BioLib provides an alternative when fast low overhead communication is desired, like for high throughput, high performance computing. BioLib has mapped libraries for Affymetrix microarray IO (the Affyio implementation by Ben Bol- stad) and the Staden IO lib (James Bonfield) for 454-sequencer trace files, amongst others, and made these available for the major languages on the major computing platforms (thanks to CMake). -
UNIVERSITY of CALIFORNIA, SAN DIEGO the Comparative Genomics
UNIVERSITY OF CALIFORNIA, SAN DIEGO The Comparative Genomics of Salinispora and the Distribution and Abundance of Secondary Metabolite Genes in Marine Plankton A Dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Marine Biology by Kevin Matthew Penn Committee in charge: Paul R. Jensen, Chair Eric Allen Lin Chao Bradley Moore Brian Palenik Forest Rohwer 2012 UMI Number: 3499839 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent on 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 3499839 Copyright 2012 by ProQuest LLC. All rights reserved. This edition of the work is protected against unauthorized copying under Title 17, United States Code. ProQuest LLC. 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, MI 48106 - 1346 Copyright Kevin Matthew Penn, 2012 All rights reserved The Dissertation of Kevin Matthew Penn is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Chair University of California, San Diego 2012 iii DEDICATION I dedicate this dissertation to my Mom Gail Penn and my Father Lawrence Penn they deserve more credit then any person could imagine. They have supported me through the good times and the bad times. They have never given up on me and they are always excited to know that I am doing well. They just want the best for me. -
Research Laboratory of Electronics
Research Laboratory of Electronics The Research Laboratory of Electronics (RLE) at MIT is a vibrant intellectual community and was one of the Institute’s earliest modern interdepartmental academic research centers. RLE research encompasses both basic and applied science and engineering in an extensive range of natural and man-made phenomena. Integral to RLE’s efforts is the furthering of scientific understanding and leading innovation to provide great service to society. The lab’s research spans the fundamentals of quantum physics and information theory to synthetic biology and power electronics and extends to novel engineering applications, including those that produce significant advances in communication systems or enable remote sensing from aircraft and spacecraft, and the development of new biomaterials and innovations in diagnostics and treatment of human diseases. RLE was founded in 1946 following the groundbreaking research that led to the development of ultra-high-frequency radar, a technology that changed the course of World War II. It was home to some of the great discoveries made in the 20th century at MIT. Cognizant of its rich history and focus on maintaining its position as MIT’s leading interdisciplinary research organization, RLE fosters a stimulating and supportive environment for innovative research and impact. What distinguishes RLE today from all other entities at MIT is its breadth of intellectual pursuit and diversity of research themes. The lab supports its researchers by providing a wide array of services spanning financial and human resources (HR), information technology, and renovations. It is fiscally independent and maintains a high level of loyalty from its principal investigators (PIs) and staff. -
Compact Graphical Representation of Phylogenetic Data and Metadata with Graphlan
Compact graphical representation of phylogenetic data and metadata with GraPhlAn The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Asnicar, Francesco, George Weingart, Timothy L. Tickle, Curtis Huttenhower, and Nicola Segata. 2015. “Compact graphical representation of phylogenetic data and metadata with GraPhlAn.” PeerJ 3 (1): e1029. doi:10.7717/peerj.1029. http://dx.doi.org/10.7717/ peerj.1029. Published Version doi:10.7717/peerj.1029 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:17820708 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 Compact graphical representation of phylogenetic data and metadata with GraPhlAn Francesco Asnicar1, George Weingart2, Timothy L. Tickle3, Curtis Huttenhower2,3 and Nicola Segata1 1 Centre for Integrative Biology (CIBIO), University of Trento, Italy 2 Biostatistics Department, Harvard School of Public Health, USA 3 Broad Institute of MIT and Harvard, USA ABSTRACT The increased availability of genomic and metagenomic data poses challenges at multiple analysis levels, including visualization of very large-scale microbial and microbial community data paired with rich metadata. We developed GraPhlAn (Graphical Phylogenetic Analysis), a computational tool that produces high-quality, compact visualizations of microbial genomes and metagenomes. This includes phylogenies spanning up to thousands of taxa, annotated with metadata ranging from microbial community abundances to microbial physiology or host and environmental phenotypes. GraPhlAn has been developed as an open-source command-driven tool in order to be easily integrated into complex, publication- quality bioinformatics pipelines. -
Gestalt of Bioinformatics
DeepaliSanjay,Bhatnagar,Gurpreet Kaur 6 Gestalt ofBioinformatics DeepaliSanjay,Bhatnagar,Gurpreet Kaur Computer Applications Deptt.,Computer ApplicationsDeptt.,Computer Applications Deptt. GianiZailSingh,PTU, GianiZailSingh,PTU,GianiZailSingh,PTU Campus,BathindaCampus,BathindaCampus,Bathinda [email protected] Abstract-Bioinformatics is a new and rapid evolving To study biological data different concepts of computer discipline that is emerging from the fields of experimental science, statistics, mathematics and engineering are molecular biology and biochemistry. It integrates many core combined together. subjects likeBiology, computer science, biochemistry, statistics, mathematics and others. Bioinformatics is an Biological data + Computer Calculations= application of computer technology that is skyrocketing in the Bioinformatics.Bioinformatics is new science to manage recent years.Bioinformatics develops methods and software of biological information. To gather, store, analyse and tools for understanding the concepts of biology .There is integrate biological and genetic information, computers growing interest in the application of artificial intelligence are used. (AI) techniques in bioinformatics. Bioinformatics, the subject of current review, is defined as the application of computational techniques to understand and organise the information associated with biological macromolecules. This paper will give a clear glance overview of bioinformatics, its definition, aims and applications in Artificial Intelligence in computer science. -
Visual Programming for Next-Generation Sequencing Data Analytics Franco Milicchio1, Rebecca Rose2, Jiang Bian3, Jae Min4 and Mattia Prosperi4*
Milicchio et al. BioData Mining (2016) 9:16 DOI 10.1186/s13040-016-0095-3 REVIEW Open Access Visual programming for next-generation sequencing data analytics Franco Milicchio1, Rebecca Rose2, Jiang Bian3, Jae Min4 and Mattia Prosperi4* * Correspondence: [email protected] 4Department of Epidemiology, Abstract College of Public Health and Health Professions & College of Medicine, Background: High-throughput or next-generation sequencing (NGS) technologies University of Florida, 2004 Mowry have become an established and affordable experimental framework in biological Road, Gainesville 32610-0231, FL, and medical sciences for all basic and translational research. Processing and USA Full list of author information is analyzing NGS data is challenging. NGS data are big, heterogeneous, sparse, and available at the end of the article error prone. Although a plethora of tools for NGS data analysis has emerged in the past decade, (i) software development is still lagging behind data generation capabilities, and (ii) there is a ‘cultural’ gap between the end user and the developer. Text: Generic software template libraries specifically developed for NGS can help in dealing with the former problem, whilst coupling template libraries with visual programming may help with the latter. Here we scrutinize the state-of-the-art low-level software libraries implemented specifically for NGS and graphical tools for NGS analytics. An ideal developing environment for NGS should be modular (with a native library interface), scalable in computational methods (i.e. serial, multithread, distributed), transparent (platform-independent), interoperable (with external software interface), and usable (via an intuitive graphical user interface). These characteristics should facilitate both the run of standardized NGS pipelines and the development of new workflows based on technological advancements or users’ needs. -
Comparative and Genetic Analysis of the Four Sequenced Paenibacillus
Eastman et al. BMC Genomics 2014, 15:851 http://www.biomedcentral.com/1471-2164/15/851 RESEARCH ARTICLE Open Access Comparative and genetic analysis of the four sequenced Paenibacillus polymyxa genomes reveals a diverse metabolism and conservation of genes relevant to plant-growth promotion and competitiveness Alexander W Eastman1,2, David E Heinrichs2 and Ze-Chun Yuan1,2* Abstract Background: Members of the genus Paenibacillus are important plant growth-promoting rhizobacteria that can serve as bio-reactors. Paenibacillus polymyxa promotes the growth of a variety of economically important crops. Our lab recently completed the genome sequence of Paenibacillus polymyxa CR1. As of January 2014, four P. polymyxa genomes have been completely sequenced but no comparative genomic analyses have been reported. Results: Here we report the comparative and genetic analyses of four sequenced P. polymyxa genomes, which revealed a significantly conserved core genome. Complex metabolic pathways and regulatory networks were highly conserved and allow P. polymyxa to rapidly respond to dynamic environmental cues. Genes responsible for phytohormone synthesis, phosphate solubilization, iron acquisition, transcriptional regulation, σ-factors, stress responses, transporters and biomass degradation were well conserved, indicating an intimate association with plant hosts and the rhizosphere niche. In addition, genes responsible for antimicrobial resistance and non-ribosomal peptide/polyketide synthesis are present in both the core and accessory genome of each strain. Comparative analyses also reveal variations in the accessory genome, including large plasmids present in strains M1 and SC2. Furthermore, a considerable number of strain-specific genes and genomic islands are irregularly distributed throughout each genome. Although a variety of plant-growth promoting traits are encoded by all strains, only P. -
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Downloaded from rsif.royalsocietypublishing.org on 20 April 2009 Towards programming languages for genetic engineering of living cells Michael Pedersen and Andrew Phillips J. R. Soc. Interface published online 15 April 2009 doi: 10.1098/rsif.2008.0516.focus Supplementary data "Data Supplement" http://rsif.royalsocietypublishing.org/content/suppl/2009/04/15/rsif.2008.0516.focus.D C1.html References This article cites 19 articles, 7 of which can be accessed free http://rsif.royalsocietypublishing.org/content/early/2009/04/14/rsif.2008.0516.focus.full. html#ref-list-1 P<P Published online 15 April 2009 in advance of the print journal. Subject collections Articles on similar topics can be found in the following collections synthetic biology (9 articles) Email alerting service Receive free email alerts when new articles cite this article - sign up in the box at the top right-hand corner of the article or click here Advance online articles have been peer reviewed and accepted for publication but have not yet appeared in the paper journal (edited, typeset versions may be posted when available prior to final publication). Advance online articles are citable and establish publication priority; they are indexed by PubMed from initial publication. Citations to Advance online articles must include the digital object identifier (DOIs) and date of initial publication. To subscribe to J. R. Soc. Interface go to: http://rsif.royalsocietypublishing.org/subscriptions This journal is © 2009 The Royal Society Downloaded from rsif.royalsocietypublishing.org on 20 April 2009 J. R. Soc. Interface doi:10.1098/rsif.2008.0516.focus Published online Towards programming languages for genetic engineering of living cells Michael Pedersen1,2 and Andrew Phillips1,* 1Microsoft Research Cambridge, Cambridge CB3 0FB, UK 2LFCS, School of Informatics, University of Edinburgh, Edinburgh EH8 9AB, UK Synthetic biology aims at producing novel biological systems to carry out some desired and well-defined functions.