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Graphical Tools for Comparative Genome Analysis
Visualization of data is important for many data-rich disciplines. In biology, where data sets are becoming larger and more complex, grephical analysis is felt to be ever more pertinent. Although some patterns and trends in data sets may only be determined by sophisticated computional analysis, view...
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Formato: | Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2000
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447042/ https://www.ncbi.nlm.nih.gov/pubmed/10797597 http://dx.doi.org/10.1002/(SICI)1097-0061(200004)17:1<6::AID-YEA15>3.0.CO;2-V |
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author | Dicks, Jo |
author_facet | Dicks, Jo |
author_sort | Dicks, Jo |
collection | PubMed |
description | Visualization of data is important for many data-rich disciplines. In biology, where data sets are becoming larger and more complex, grephical analysis is felt to be ever more pertinent. Although some patterns and trends in data sets may only be determined by sophisticated computional analysis, viewing data by eye can provide us with an extraordinary amount of information in an instant. Recent advances in bioinformatic technologies allow us to link graphical tools to data sources with ease, so we can visualize our data sets dynamically. Here, an overview of graghical software tools for comparative genome analysis is given, showing that a range of simple tools can provide us with powerful view of the differences and similarities between genome. |
format | Text |
id | pubmed-2447042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2000 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-24470422008-07-14 Graphical Tools for Comparative Genome Analysis Dicks, Jo Yeast Research Article Visualization of data is important for many data-rich disciplines. In biology, where data sets are becoming larger and more complex, grephical analysis is felt to be ever more pertinent. Although some patterns and trends in data sets may only be determined by sophisticated computional analysis, viewing data by eye can provide us with an extraordinary amount of information in an instant. Recent advances in bioinformatic technologies allow us to link graphical tools to data sources with ease, so we can visualize our data sets dynamically. Here, an overview of graghical software tools for comparative genome analysis is given, showing that a range of simple tools can provide us with powerful view of the differences and similarities between genome. Hindawi Publishing Corporation 2000 /pmc/articles/PMC2447042/ /pubmed/10797597 http://dx.doi.org/10.1002/(SICI)1097-0061(200004)17:1<6::AID-YEA15>3.0.CO;2-V Text en Copyright © 2000 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Dicks, Jo Graphical Tools for Comparative Genome Analysis |
title | Graphical Tools for Comparative Genome Analysis |
title_full | Graphical Tools for Comparative Genome Analysis |
title_fullStr | Graphical Tools for Comparative Genome Analysis |
title_full_unstemmed | Graphical Tools for Comparative Genome Analysis |
title_short | Graphical Tools for Comparative Genome Analysis |
title_sort | graphical tools for comparative genome analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447042/ https://www.ncbi.nlm.nih.gov/pubmed/10797597 http://dx.doi.org/10.1002/(SICI)1097-0061(200004)17:1<6::AID-YEA15>3.0.CO;2-V |
work_keys_str_mv | AT dicksjo graphicaltoolsforcomparativegenomeanalysis |