ImmunoNodes – graphical development of complex immunoinformatics workflows

Background Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically req...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Schubert, Benjamin [verfasserIn] de la Garza, Luis Mohr, Christopher Walzer, Mathias Kohlbacher, Oliver

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Immunoinformatics KNIME Workflow

Anmerkung:	© The Author(s). 2017

Übergeordnetes Werk:	Enthalten in: BMC bioinformatics - London : BioMed Central, 2000, 18(2017), 1 vom: 08. Mai
Übergeordnetes Werk:	volume:18 ; year:2017 ; number:1 ; day:08 ; month:05

Links:	Volltext

DOI / URN:	10.1186/s12859-017-1667-z

Katalog-ID:	SPR026911043

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520			\|a Background Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications. Result We present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding. Conclusion ImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer.
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author_variant	b s bs l g l d lgl lgld c m cm m w mw o k ok
matchkey_str	article:14712105:2017----::muooegahcleeomnocmlxmuon
hierarchy_sort_str	2017
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allfields	10.1186/s12859-017-1667-z doi (DE-627)SPR026911043 (SPR)s12859-017-1667-z-e DE-627 ger DE-627 rakwb eng Schubert, Benjamin verfasserin (orcid)0000-0003-3412-1102 aut ImmunoNodes – graphical development of complex immunoinformatics workflows 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 Background Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications. Result We present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding. Conclusion ImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer. Immunoinformatics (dpeaa)DE-He213 KNIME (dpeaa)DE-He213 Workflow (dpeaa)DE-He213 de la Garza, Luis aut Mohr, Christopher aut Walzer, Mathias aut Kohlbacher, Oliver aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 18(2017), 1 vom: 08. Mai (DE-627)326644814 (DE-600)2041484-5 1471-2105 nnns volume:18 year:2017 number:1 day:08 month:05 https://dx.doi.org/10.1186/s12859-017-1667-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2017 1 08 05
spelling	10.1186/s12859-017-1667-z doi (DE-627)SPR026911043 (SPR)s12859-017-1667-z-e DE-627 ger DE-627 rakwb eng Schubert, Benjamin verfasserin (orcid)0000-0003-3412-1102 aut ImmunoNodes – graphical development of complex immunoinformatics workflows 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 Background Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications. Result We present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding. Conclusion ImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer. Immunoinformatics (dpeaa)DE-He213 KNIME (dpeaa)DE-He213 Workflow (dpeaa)DE-He213 de la Garza, Luis aut Mohr, Christopher aut Walzer, Mathias aut Kohlbacher, Oliver aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 18(2017), 1 vom: 08. Mai (DE-627)326644814 (DE-600)2041484-5 1471-2105 nnns volume:18 year:2017 number:1 day:08 month:05 https://dx.doi.org/10.1186/s12859-017-1667-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2017 1 08 05
allfields_unstemmed	10.1186/s12859-017-1667-z doi (DE-627)SPR026911043 (SPR)s12859-017-1667-z-e DE-627 ger DE-627 rakwb eng Schubert, Benjamin verfasserin (orcid)0000-0003-3412-1102 aut ImmunoNodes – graphical development of complex immunoinformatics workflows 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 Background Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications. Result We present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding. Conclusion ImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer. Immunoinformatics (dpeaa)DE-He213 KNIME (dpeaa)DE-He213 Workflow (dpeaa)DE-He213 de la Garza, Luis aut Mohr, Christopher aut Walzer, Mathias aut Kohlbacher, Oliver aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 18(2017), 1 vom: 08. Mai (DE-627)326644814 (DE-600)2041484-5 1471-2105 nnns volume:18 year:2017 number:1 day:08 month:05 https://dx.doi.org/10.1186/s12859-017-1667-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2017 1 08 05
allfieldsGer	10.1186/s12859-017-1667-z doi (DE-627)SPR026911043 (SPR)s12859-017-1667-z-e DE-627 ger DE-627 rakwb eng Schubert, Benjamin verfasserin (orcid)0000-0003-3412-1102 aut ImmunoNodes – graphical development of complex immunoinformatics workflows 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 Background Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications. Result We present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding. Conclusion ImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer. Immunoinformatics (dpeaa)DE-He213 KNIME (dpeaa)DE-He213 Workflow (dpeaa)DE-He213 de la Garza, Luis aut Mohr, Christopher aut Walzer, Mathias aut Kohlbacher, Oliver aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 18(2017), 1 vom: 08. Mai (DE-627)326644814 (DE-600)2041484-5 1471-2105 nnns volume:18 year:2017 number:1 day:08 month:05 https://dx.doi.org/10.1186/s12859-017-1667-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2017 1 08 05
allfieldsSound	10.1186/s12859-017-1667-z doi (DE-627)SPR026911043 (SPR)s12859-017-1667-z-e DE-627 ger DE-627 rakwb eng Schubert, Benjamin verfasserin (orcid)0000-0003-3412-1102 aut ImmunoNodes – graphical development of complex immunoinformatics workflows 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2017 Background Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications. Result We present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding. Conclusion ImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer. Immunoinformatics (dpeaa)DE-He213 KNIME (dpeaa)DE-He213 Workflow (dpeaa)DE-He213 de la Garza, Luis aut Mohr, Christopher aut Walzer, Mathias aut Kohlbacher, Oliver aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 18(2017), 1 vom: 08. Mai (DE-627)326644814 (DE-600)2041484-5 1471-2105 nnns volume:18 year:2017 number:1 day:08 month:05 https://dx.doi.org/10.1186/s12859-017-1667-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 18 2017 1 08 05
language	English
source	Enthalten in BMC bioinformatics 18(2017), 1 vom: 08. Mai volume:18 year:2017 number:1 day:08 month:05
sourceStr	Enthalten in BMC bioinformatics 18(2017), 1 vom: 08. Mai volume:18 year:2017 number:1 day:08 month:05
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Immunoinformatics KNIME Workflow
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container_title	BMC bioinformatics
authorswithroles_txt_mv	Schubert, Benjamin @@aut@@ de la Garza, Luis @@aut@@ Mohr, Christopher @@aut@@ Walzer, Mathias @@aut@@ Kohlbacher, Oliver @@aut@@
publishDateDaySort_date	2017-05-08T00:00:00Z
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spellingShingle	Schubert, Benjamin misc Immunoinformatics misc KNIME misc Workflow ImmunoNodes – graphical development of complex immunoinformatics workflows
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topic_title	ImmunoNodes – graphical development of complex immunoinformatics workflows Immunoinformatics (dpeaa)DE-He213 KNIME (dpeaa)DE-He213 Workflow (dpeaa)DE-He213
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title	ImmunoNodes – graphical development of complex immunoinformatics workflows
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title_full	ImmunoNodes – graphical development of complex immunoinformatics workflows
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author_browse	Schubert, Benjamin de la Garza, Luis Mohr, Christopher Walzer, Mathias Kohlbacher, Oliver
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title_sort	immunonodes – graphical development of complex immunoinformatics workflows
title_auth	ImmunoNodes – graphical development of complex immunoinformatics workflows
abstract	Background Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications. Result We present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding. Conclusion ImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer. © The Author(s). 2017
abstractGer	Background Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications. Result We present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding. Conclusion ImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer. © The Author(s). 2017
abstract_unstemmed	Background Immunoinformatics has become a crucial part in biomedical research. Yet many immunoinformatics tools have command line interfaces only and can be difficult to install. Web-based immunoinformatics tools, on the other hand, are difficult to integrate with other tools, which is typically required for the complex analysis and prediction pipelines required for advanced applications. Result We present ImmunoNodes, an immunoinformatics toolbox that is fully integrated into the visual workflow environment KNIME. By dragging and dropping tools and connecting them to indicate the data flow through the pipeline, it is possible to construct very complex workflows without the need for coding. Conclusion ImmunoNodes allows users to build complex workflows with an easy to use and intuitive interface with a few clicks on any desktop computer. © The Author(s). 2017
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title_short	ImmunoNodes – graphical development of complex immunoinformatics workflows
url	https://dx.doi.org/10.1186/s12859-017-1667-z
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author2	de la Garza, Luis Mohr, Christopher Walzer, Mathias Kohlbacher, Oliver
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up_date	2024-07-03T23:24:21.489Z
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ImmunoNodes – graphical development of complex immunoinformatics workflows

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