Supplement on Visualizing Biological Data
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Current Status and Future Perspectives of Bioinformatics in Tanzania
CURRENT STATUS AND FUTURE PERSPECTIVES OF BIOINFORMATICS IN TANZANIA Sylvester L. Lyantagaye Department of Molecular Biology and Biotechnology, College of Natural and Applied Sciences, University of Dar es Salaam, P.O. Box 35179, Dar es Salaam, Tanzania E-mail: [email protected], [email protected] ABSTRACT The main bottleneck in advancing genomics in present times is the lack of expertise in using bioinformatics tools and approaches for data mining in raw DNA sequences generated by modern high throughput technologies such as next generation sequencing. Although bioinformatics has been making major progress and contributing to the development in the rest of the world, it has still not yet fully integrated the tertiary education and research sector in Tanzania. This review aims to introduce a summary of recent achievements, trends and success stories of application of bioinformatics in biotechnology. The applications of bioinformatics in the fields such as molecular biology, biotechnology, medicine and agriculture, the global trend of bioinformatics, accessibility bioinformatics products in Tanzania, bioinformatics training initiatives in Tanzania, the future prospects of bioinformatics use in biotechnology globally and Tanzania in particular are reviewed. The paper is of interest and importance to rouse public awareness of the new opportunities that could be brought about by bioinformatics to address many research problems relevant to Tanzania and sub-Sahara Africa. Keywords: Bioinformatics, Biotechnology, Genomics, Tanzania. INTRODUCTION analysis, and management of biological Bioinformatics is conceptualising biology in information through computational terms of molecules (in the sense of physical techniques. It uses mathematics, biology, chemistry) and applying "informatics and computer science to understand the techniques" (derived from disciplines such biological importance of an extensive as applied mathematics, computer science variety of omics data (Reportlinker 2013). -
Visualization of Biomedical Data
Visualization of Biomedical Data Corresponding author: Seán I. O’Donoghue; email: [email protected] • Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Eveleigh NSW 2015, Australia • Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney NSW 2010, Australia • School of Biotechnology and Biomolecular Sciences, UNSW, Kensington NSW 2033, Australia Benedetta Frida Baldi; email: [email protected] • Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney NSW 2010, Australia Susan J Clark; email: [email protected] • Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney NSW 2010, Australia Aaron E. Darling; email: [email protected] • The ithree institute, University of Technology Sydney, Ultimo NSW 2007, Australia James M. Hogan; email: [email protected] • School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane QLD, 4000, Australia Sandeep Kaur; email: [email protected] • School of Computer Science and Engineering, UNSW, Kensington NSW 2033, Australia Lena Maier-Hein; email: [email protected] • Div. Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany Davis J. McCarthy; email: [email protected] • European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, CB10 1SD, Hinxton, Cambridge, UK • St. Vincent’s Institute of Medical Research, Fitzroy VIC 3065, Australia William -
Data Visualization by Nils Gehlenborg
Data Visualization Nils Gehlenborg ([email protected]) Center for Biomedical Informatics / Harvard Medical School Cancer Program / Broad Institute of MIT and Harvard ISMB/ECCB 2011 http://www.biovis.net Flyers at ISCB booth! Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg A good sketch is better than a long speech. Napoleon Bonaparte Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg Minard 1869 Napoleon’s March on Moscow Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg 4 I believe when I see it. Unknown Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg Anscombe 1973, The American Statistician Anscombe’s Quartet mean(X) = 9, var(X) = 11, mean(Y) = 7.5, var(Y) = 4.12, cor(X,Y) = 0.816, linear regression line Y = 3 + 0.5*X Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg 6 Anscombe 1973, The American Statistician Anscombe’s Quartet Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg 7 Exploration: Hypothesis Generation trends gaps outliers clusters - A large data set is given and the goal is to learn something about it. - Visualization is employed to perform pattern detection using the human visual system. - The goal is to generate hypotheses that can be tested with statistical methods or follow-up experiments. Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg 8 Visualization Use Cases Presentation Confirmation Exploration Data Visualization / ISMB/ECCB 2011 / Nils Gehlenborg 9 Definition The use of computer-supported, interactive, visual representations of data to amplify cognition. Stu Card, Jock Mackinlay & Ben Shneiderman Computer-based visualization systems provide visual representations of datasets intended to help people carry out some task more effectively.effectively. -
Visualization and Exploration of Transcriptomics Data Nils Gehlenborg
Visualization and Exploration of Transcriptomics Data 05 The identifier 800 year identifier Nils Gehlenborg Sidney Sussex College To celebrate our 800 year history an adaptation of the core identifier has been commissioned. This should be used on communications in the time period up to and including 2009. The 800 year identifier consists of three elements: the shield, the University of Cambridge logotype and the 800 years wording. It should not be redrawn, digitally manipulated or altered. The elements should not be A dissertation submitted to the University of Cambridge used independently and their relationship should for the degree of Doctor of Philosophy remain consistent. The 800 year identifier must always be reproduced from a digital master reference. This is available in eps, jpeg and gif format. Please ensure the appropriate artwork format is used. File formats European Molecular Biology Laboratory, eps: all professionally printed applications European Bioinformatics Institute, jpeg: Microsoft programmes Wellcome Trust Genome Campus, gif: online usage Hinxton, Cambridge, CB10 1SD, Colour United Kingdom. The 800 year identifier only appears in the five colour variants shown on this page. Email: [email protected] Black, Red Pantone 032, Yellow Pantone 109 and white October 12, 2010 shield with black (or white name). Single colour black or white. Please try to avoid any other colour combinations. Pantone 032 R237 G41 B57 Pantone 109 R254 G209 B0 To Maureen. This dissertation is my own work and contains nothing which is the outcome of work done in collaboration with others, except as specified in the text and acknowledgements. This dissertation is not substantially the same as any I have submit- ted for a degree, diploma or other qualification at any other university, and no part has already been, or is currently being submitted for any degree, diploma or other qualification. -
Digital Scholarship Commons Presentation 09.24.14
A short introduction: Information visualizations in teaching & research Isabel Meirelles | [email protected] Associate Professor, Graphic Design, CAMD Digital Scholarship Commons NU Sept.24 Information design Infographics! Information visualization Data visualization Information design Infographics Graphical representations that aim at communicating information with the purpose to reveal patterns and relationships not known or not easily deduced without the aid of the visual presentation of information. ! Information visualization Data visualization “the use of computer-supported, interactive, visual representations of abstract data to amplify cognition” Card et al. : Readings in Information Visualization: Using Vision to Think Information From Latin informare to give form or shape to, from in into + formare to form, from forma a form or shape + -ation indicating a process or condition The Oxford American Thesaurus of Current English Information Definition* Definition information = well-formed and meaningful data *Weak definition. The strong definition includes the further condition of truthfulness. Luciano Floridi (2010): Information, A Very Short Introduction Information taxonomy by Floridi M. Chen & L. Floridi (2012): An Analysis of Information in Visualization in Synthese, Springer (historical) intermezzo Visual/diagrammatic representations over history 9th-ct., France: M. Capella, De nuptiis,. c. 1310, England: Table of the Ten Commandments Planetary diagrams from the De Lisle Psalter To increase working memory 1582: Giordano -
White Paper on CLC Read Mapper
White Paper White paper on CLC read mapper October 10, 2012 Sample to Insight QIAGEN Aarhus Silkeborgvej 2 Prismet 8000 Aarhus C Denmark Telephone: +45 70 22 32 44 www.qiagenbioinformatics.com [email protected] White paper: White paper on CLC read mapper 2 Contents 1 Abstract 3 2 Introduction 3 3 Performance Benchmark of CLC Genomics Workbench/Server 5 4 Computational Resource Requirements of CLC Assembly Cell 9 5 Accuracy Benchmark of CLC Assembly Cell 12 6 Algorithmic Details 18 7 Conclusions 19 8 Materials & Methods 19 8.1 Performance Benchmark of CLC Genomics Workbench/Server ........... 19 8.2 Computational Resource Requirements of CLC Assembly Cell ............ 20 8.3 Accuracy Benchmark of CLC Assembly Cell ...................... 20 8.4 Read Mappers ..................................... 22 8.5 Data Sets ....................................... 22 8.6 Benchmarking Hardware ............................... 23 8.7 bash related ...................................... 23 References 25 White paper: White paper on CLC read mapper 3 1 Abstract After decades of biological research relying on Sanger sequencing, massively parallel high throughput sequencing (HTS) techniques have created a broad range of new and exciting research applications by increasing the output sequencing data dramatically. Although allowing for hitherto unseen DNA and RNA sequencing and binding study designs, HTS technologies have created remarkable bioinformatic challenges. In typical resequencing studies read mappers are used to align sequence reads to reference genomes. Read mapping, while not too time consuming in the Sanger-century, quickly evolved into one of the most insistent bottlenecks. Nowadays, researchers can resort to a broad range of read mapping solutions and it becomes increasingly challenging to choose software that optimally meets given requirements. -
Steps to an Ecology of Networked Knowledge and Innovation Enabling New Forms of Collaboration Among Sciences, Engineering, Arts, and Design
Steps to an Ecology of Networked Knowledge and Innovation Enabling New Forms of Collaboration among Sciences, Engineering, Arts, and Design Roger F. Malina, Carol Strohecker, and Carol LaFayette on behalf of SEAD network contributors The MIT Press, Cambridge, Massachusetts and London, England Steps to an Ecology of Networked Knowledge and Innovation Enabling New Forms of Collaboration among Sciences, Engineering, Arts, and Design Roger F. Malina, Carol Strohecker, and Carol LaFayette on behalf of SEAD network contributors Cover image: “Map of Science Derived from Clickstream Data” (2009). Maps of science resulting from large-scale clickstream data provide a detailed, contemporary view of scientific activity and correct the under-representation of the social sciences and humanities that is commonly found in citation data. © Johan Bollen. Used with permission. Originally published in Bollen, J., H. Van de Sompel, A. Hagberg, L. Bettencourt, R. Chute, et al. (2009), “Clickstream Data Yields High-Resolution Maps of Science.” PLoS ONE 4 (3): e4803. doi: 10.1371/journal.pone.0004803. 3 This material is based on work supported by the National Science Foundation under Grant No. 1142510, IIS, Human-Centered Computing, “Collaborative Research: EAGER: Network for Science, Engineering, Arts and Design (NSEAD).” Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. © 2015 ISAST Published under a Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0) eISBN: 978-0-262-75863-5 CONTENTS Acknowledgments ......................................................................................i SEAD White Papers Committees ...............................................................ii Introduction ...............................................................................................1 1. SEAD White Papers Methodology ......................................................13 2. -
School of Architecture 2016–2017 School of Architecture School Of
BULLETIN OF YALE UNIVERSITY BULLETIN OF YALE BULLETIN OF YALE UNIVERSITY Periodicals postage paid New Haven ct 06520-8227 New Haven, Connecticut School of Architecture 2016–2017 School of Architecture 2016 –2017 BULLETIN OF YALE UNIVERSITY Series 112 Number 4 June 30, 2016 BULLETIN OF YALE UNIVERSITY Series 112 Number 4 June 30, 2016 (USPS 078-500) The University is committed to basing judgments concerning the admission, education, is published seventeen times a year (one time in May and October; three times in June and employment of individuals upon their qualifications and abilities and a∞rmatively and September; four times in July; five times in August) by Yale University, 2 Whitney seeks to attract to its faculty, sta≠, and student body qualified persons of diverse back- Avenue, New Haven CT 0651o. Periodicals postage paid at New Haven, Connecticut. grounds. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against Postmaster: Send address changes to Bulletin of Yale University, any individual on account of that individual’s sex, race, color, religion, age, disability, PO Box 208227, New Haven CT 06520-8227 status as a protected veteran, or national or ethnic origin; nor does Yale discriminate on the basis of sexual orientation or gender identity or expression. Managing Editor: Kimberly M. Go≠-Crews University policy is committed to a∞rmative action under law in employment of Editor: Lesley K. Baier women, minority group members, individuals with disabilities, and protected veterans. PO Box 208230, New Haven CT 06520-8230 Inquiries concerning these policies may be referred to Valarie Stanley, Director of the O∞ce for Equal Opportunity Programs, 221 Whitney Avenue, 3rd Floor, 203.432.0849. -
Visualizing Biological Data
THIS MONTH y y x x 22 1 22 1 21 21 POINTS OF VIEW 20 20 2 2 19 19 18 18 3 3 17 17 Visualizing biological 16 16 4 4 15 15 data 14 5 14 5 Data visualization is increasingly important, 13 6 13 6 12 7 12 7 8 8 9 but it requires clear objectives and improved 11 11 9 10 10 implementation. Figure 1 | Visualization of whole-genome rearrangement. Representative Researchers today have access to an unprecedented amount of Circos plots1 of whole-genome sequence data from two different tumors data. The challenge is to benefit from this abundance without showing gene duplications and chromosome rearrangements. The outer ring depicts chromosomes arranged end to end. The inner ring displays being overwhelmed. Data visualization for efficient exploration copy-number data in green and interchromosomal translocations in purple. and effective communication is integral to scientific progress. Reprinted from ref. 2 with permission from Elsevier. For visualization to continue to be an important tool for discov- ery, its practitioners need to be present as members of research teams. rapidly turn sketches into software prototypes at a pace relevant One of the goals of data visualization is to enable people to to the research: as data types and research questions evolve, there explore and explain data through interactive software that takes is a constant need to refine and adapt visualizations. One funding advantage of human beings’ ability to recognize patterns. Its suc- mechanism that has enabled an integrated focus on visualiza- cess depends on the development of methods and techniques to tion in the context of biological research is supplemental sup- transform information into a visual form for comprehension. -
The Scientist As Illustrator
TREIMM 1262 No. of Pages 4 Special Issue: and technology. Leonardo's careful study of visual communicators as it ever was Communicating Science of human anatomy and interest in propor- in the past. tions was demonstrated in the Vitruvian Scientific Life man, one of his most famous drawings. Drawing to Understand In molecular and cellular biology, our The Scientist as With the rise of the printing press, scien- understanding of processes is typically Illustrator tists could reach a larger audience with based on experimental data that are indi- whom they could share their findings. In rect, abstract, and collected by different [1_TD$IF] 1, Sidereus Nuncius, Galileo Galilei was the laboratories using an assortment of tech- Janet H. Iwasa * first to publish observations made using a niques over the course of decades. To telescope. A polymath who excelled in understand processes that are taking fi Pro ciency in art and illustration astronomy, mathematics, and physics, place at scales smaller than the wave- was once considered an essential Galileo had also studied medicine and length of light, biologists must synthesize skill for biologists, because text had once considered a career in painting diverse data to generate a working model alone often could not suffice to [1]. His manuscript included over 70 or hypothesis. In contrast with scientists of describe observations of biological detailed illustrations, including the first the past, we must rely on visualizations not systems. With modern imaging realistic depictions of the craggy and pit- to record and share our observations, but technology, it is no longer neces- ted surface of the moon. -
Spatial Thinking Across the College Curriculum
Center for Spatial Studies University of California, Santa Barbara Position Papers, 2012 Specialist Meeting— Spatial Thinking across the College Curriculum TABLE OF CONTENTS Baker 1 Kolvoord 54 Bechtel 3 Kuhn, Bartoschek 56 Bell 6 Liben 58 Bernardini 9 Mayer 61 Bodenhamer 12 Montello 62 Bol 14 Newcombe 64 Carlson 17 O’Sullivan 66 Casey 19 Pani 68 DiBiase 22 Perez-Kriz 70 Downs 24 Shelton 71 Fields 27 Shipley 73 Fournier 29 Sinton 75 Gahegan 31 Slater 77 Goodchild, F. 33 Sorby 80 Grossner 35 Stieff 84 Hegarty 38 Sweetkind-Singer 87 Hirtle 40 Tullock 90 Janelle 43 Tversky 94 Janowicz 46 Uttal 96 Kastens 48 Wilson 98 Klippel 51 Yanow 101 2012 Specialist Meeting—Spatial Thinking Across the College Curriculum Baker—1 Advancing STEM Education, GIS and Spatial Thinking THOMAS R. BAKER Education Team, Industry Solutions ESRI Email: [email protected] he call for this specialist meeting asserts that spatial abilities are related to both success T and participation in STEM. More generally, it implies that spatiality is the unifier of [most] academic disciplines. These assertions beg many questions, perhaps beginning with, what is our goal? What should the educational community and industry partners do to clarify the need for and advance spatial abilities across the collegiate and K-12 curricula in the near term, from research and practice to curriculum development and promotion? Uttal and Cohen’s (2012) meta-analysis lends clarity to the many critical dependencies STEM education holds for spatial abilities and training. The longitudinal work of Wai, Lubinski, & Camilla (2009) demonstrate the propensity of most STEM learners to score well on measures of spatial skills. -
Fpgas in Bioinformatics
FPGAs in Bioinformatics Implementation and Evaluation of Common Bioinformatics Algorithms in Reconfigurable Logic Dipl.-Inf. Lars Wienbrandt Dissertation zur Erlangung des akademischen Grades Doktor der Ingenieurwissenschaften (Dr.-Ing.) der Technischen Fakultät der Christian-Albrechts-Universität zu Kiel eingereicht im Jahr 2015 Kiel Computer Science Series (KCSS) 2016/2 v1.0 dated 2016-03-15 ISSN 2193-6781 (print version) ISSN 2194-6639 (electronic version) Electronic version, updates, errata available via https://www.informatik.uni-kiel.de/kcss The author can be contacted via http://www.techinf.informatik.uni-kiel.de Published by the Department of Computer Science, Kiel University Technical Computer Science Group Please cite as: Ź Lars Wienbrandt. FPGAs in Bioinformatics Number 2016/2 in Kiel Computer Science Series. Department of Computer Science, 2016. Dissertation, Faculty of Engineering, Kiel University. @book{Wienbrandt16, author = {Lars Wienbrandt}, title = {{FPGAs in Bioinformatics}}, publisher = {Department of Computer Science, Kiel University}, year = {2016}, number = {2016/2}, series = {Kiel Computer Science Series}, note = {Dissertation, Faculty of Engineering, Kiel University.} } © 2016 by Lars Wienbrandt ii About this Series The Kiel Computer Science Series (KCSS) covers dissertations, habilitation theses, lecture notes, textbooks, surveys, collections, handbooks, etc. written at the Department of Computer Science at Kiel University. It was initiated in 2011 to support authors in the dissemination of their work in electronic and printed form, without restricting their rights to their work. The series provides a unified appearance and aims at high-quality typography. The KCSS is an open access series; all series titles are electronically available free of charge at the department’s website. In addition, authors are encouraged to make printed copies available at a reasonable price, typically with a print-on-demand service.