Visualization of Biological Data - Crossroads
Our ability to generate and collect biological data has accelerated significantly in the past two decades. In response, many novel computational and statistical analysis techniques have been developed to process and integrate biological data sets. However, in addition to computational and statistica...
Gespeichert in:
Veröffentlicht in: | Dagstuhl Reports 2018-02, Vol.8 (4), p.32-71 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 71 |
---|---|
container_issue | 4 |
container_start_page | 32 |
container_title | Dagstuhl Reports |
container_volume | 8 |
creator | Aerts, Jan Gehlenborg, Nils Marai, Georgeta Elisabeta Nieselt, Katja Kay |
description | Our ability to generate and collect biological data has accelerated significantly in the past two decades. In response, many novel computational and statistical analysis techniques have been developed to process and integrate biological data sets. However, in addition to computational and statistical approaches, visualization techniques are needed to enable the interpretation of data as well as the communication of results. The design and implementation of such techniques lies at the intersection of the biology, bioinformatics, and data visualization fields. The purpose of Dagstuhl Seminar 18161 "Visualization of Biological Data - Crossroads" was to bring together researchers from all three fields, to identify opportunities and challenges, and to develop a path forward for biological data visualization research. |
format | Article |
fullrecord | <record><control><sourceid>kuleuven</sourceid><recordid>TN_cdi_kuleuven_dspace_20_500_12942_731301</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>20_500_12942_731301</sourcerecordid><originalsourceid>FETCH-kuleuven_dspace_20_500_12942_7313013</originalsourceid><addsrcrecordid>eNqVyrEKwjAUQNEgChbtP2QWIkleS81qVfwAcQ2PNpVoaKQvFfHrXRwcdbp3OBOWaWW0KPUGpl8_ZznRVUqpyqICMBkTZ08jBv_C5GPPY8e3PoZ48Q0GvsOEXPB6iERDxJaWbNZhIJd_umCrw_5UH8VtDG58uN62dMfGWS1tKaVV2hTaVqBAKvgTr3_GNj0TvAFcjEST</addsrcrecordid><sourcetype>Institutional Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Visualization of Biological Data - Crossroads</title><source>Lirias (KU Leuven Association)</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Aerts, Jan ; Gehlenborg, Nils ; Marai, Georgeta Elisabeta ; Nieselt, Katja Kay</creator><creatorcontrib>Aerts, Jan ; Gehlenborg, Nils ; Marai, Georgeta Elisabeta ; Nieselt, Katja Kay</creatorcontrib><description>Our ability to generate and collect biological data has accelerated significantly in the past two decades. In response, many novel computational and statistical analysis techniques have been developed to process and integrate biological data sets. However, in addition to computational and statistical approaches, visualization techniques are needed to enable the interpretation of data as well as the communication of results. The design and implementation of such techniques lies at the intersection of the biology, bioinformatics, and data visualization fields. The purpose of Dagstuhl Seminar 18161 "Visualization of Biological Data - Crossroads" was to bring together researchers from all three fields, to identify opportunities and challenges, and to develop a path forward for biological data visualization research.</description><identifier>ISSN: 2192-5283</identifier><identifier>EISSN: 2192-5283</identifier><language>eng</language><publisher>Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH</publisher><ispartof>Dagstuhl Reports, 2018-02, Vol.8 (4), p.32-71</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,315,778,782,27847</link.rule.ids></links><search><creatorcontrib>Aerts, Jan</creatorcontrib><creatorcontrib>Gehlenborg, Nils</creatorcontrib><creatorcontrib>Marai, Georgeta Elisabeta</creatorcontrib><creatorcontrib>Nieselt, Katja Kay</creatorcontrib><title>Visualization of Biological Data - Crossroads</title><title>Dagstuhl Reports</title><description>Our ability to generate and collect biological data has accelerated significantly in the past two decades. In response, many novel computational and statistical analysis techniques have been developed to process and integrate biological data sets. However, in addition to computational and statistical approaches, visualization techniques are needed to enable the interpretation of data as well as the communication of results. The design and implementation of such techniques lies at the intersection of the biology, bioinformatics, and data visualization fields. The purpose of Dagstuhl Seminar 18161 "Visualization of Biological Data - Crossroads" was to bring together researchers from all three fields, to identify opportunities and challenges, and to develop a path forward for biological data visualization research.</description><issn>2192-5283</issn><issn>2192-5283</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>FZOIL</sourceid><recordid>eNqVyrEKwjAUQNEgChbtP2QWIkleS81qVfwAcQ2PNpVoaKQvFfHrXRwcdbp3OBOWaWW0KPUGpl8_ZznRVUqpyqICMBkTZ08jBv_C5GPPY8e3PoZ48Q0GvsOEXPB6iERDxJaWbNZhIJd_umCrw_5UH8VtDG58uN62dMfGWS1tKaVV2hTaVqBAKvgTr3_GNj0TvAFcjEST</recordid><startdate>20180210</startdate><enddate>20180210</enddate><creator>Aerts, Jan</creator><creator>Gehlenborg, Nils</creator><creator>Marai, Georgeta Elisabeta</creator><creator>Nieselt, Katja Kay</creator><general>Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH</general><scope>FZOIL</scope></search><sort><creationdate>20180210</creationdate><title>Visualization of Biological Data - Crossroads</title><author>Aerts, Jan ; Gehlenborg, Nils ; Marai, Georgeta Elisabeta ; Nieselt, Katja Kay</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-kuleuven_dspace_20_500_12942_7313013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Aerts, Jan</creatorcontrib><creatorcontrib>Gehlenborg, Nils</creatorcontrib><creatorcontrib>Marai, Georgeta Elisabeta</creatorcontrib><creatorcontrib>Nieselt, Katja Kay</creatorcontrib><collection>Lirias (KU Leuven Association)</collection><jtitle>Dagstuhl Reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aerts, Jan</au><au>Gehlenborg, Nils</au><au>Marai, Georgeta Elisabeta</au><au>Nieselt, Katja Kay</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Visualization of Biological Data - Crossroads</atitle><jtitle>Dagstuhl Reports</jtitle><date>2018-02-10</date><risdate>2018</risdate><volume>8</volume><issue>4</issue><spage>32</spage><epage>71</epage><pages>32-71</pages><issn>2192-5283</issn><eissn>2192-5283</eissn><abstract>Our ability to generate and collect biological data has accelerated significantly in the past two decades. In response, many novel computational and statistical analysis techniques have been developed to process and integrate biological data sets. However, in addition to computational and statistical approaches, visualization techniques are needed to enable the interpretation of data as well as the communication of results. The design and implementation of such techniques lies at the intersection of the biology, bioinformatics, and data visualization fields. The purpose of Dagstuhl Seminar 18161 "Visualization of Biological Data - Crossroads" was to bring together researchers from all three fields, to identify opportunities and challenges, and to develop a path forward for biological data visualization research.</abstract><pub>Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH</pub><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2192-5283 |
ispartof | Dagstuhl Reports, 2018-02, Vol.8 (4), p.32-71 |
issn | 2192-5283 2192-5283 |
language | eng |
recordid | cdi_kuleuven_dspace_20_500_12942_731301 |
source | Lirias (KU Leuven Association); Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
title | Visualization of Biological Data - Crossroads |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T01%3A53%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-kuleuven&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Visualization%20of%20Biological%20Data%20-%20Crossroads&rft.jtitle=Dagstuhl%20Reports&rft.au=Aerts,%20Jan&rft.date=2018-02-10&rft.volume=8&rft.issue=4&rft.spage=32&rft.epage=71&rft.pages=32-71&rft.issn=2192-5283&rft.eissn=2192-5283&rft_id=info:doi/&rft_dat=%3Ckuleuven%3E20_500_12942_731301%3C/kuleuven%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |