FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data

Background Cytotoxicity assays have been used by researchers to screen for cytotoxicity in compound libraries. Researchers can either look for cytotoxic compounds or screen "hits" from initial high-throughput drug screens for unwanted cytotoxic effects before investing in their development...
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Autor*in:	Faria-Campos, Alessandra C [verfasserIn] Balottin, Luciene B Zuin, Gianlucca Garcia, Vinicius Batista, Paulo HS Granjeiro, José M Campos, Sérgio VA

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Laboratory Information Management Systems Workflow Cytotoxicity Tests OECD129 Good Laboratory Practices Interlaboratory comparison

Anmerkung:	© Faria-Campos et al. 2015

Übergeordnetes Werk:	Enthalten in: BMC bioinformatics - London : BioMed Central, 2000, 16(2015), Suppl 19 vom: 16. Dez.
Übergeordnetes Werk:	volume:16 ; year:2015 ; number:Suppl 19 ; day:16 ; month:12

Links:	Volltext

DOI / URN:	10.1186/1471-2105-16-S19-S8

Katalog-ID:	SPR026901862

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520			\|a Background Cytotoxicity assays have been used by researchers to screen for cytotoxicity in compound libraries. Researchers can either look for cytotoxic compounds or screen "hits" from initial high-throughput drug screens for unwanted cytotoxic effects before investing in their development as a pharmaceutical. These assays may be used as an alternative to animal experimentation and are becoming increasingly important in modern laboratories. However, the execution of these assays in large scale and different laboratories requires, among other things, the management of protocols, reagents, cell lines used as well as the data produced, which can be a challenge. The management of all this information is greatly improved by the utilization of computational tools to save time and guarantee quality. However, a tool that performs this task designed specifically for cytotoxicity assays is not yet available. Results In this work, we have used a workflow based LIMS -- the Flux system -- and the Together Workflow Editor as a framework to develop FluxCTTX, a tool for management of data from cytotoxicity assays performed at different laboratories. The main work is the development of a workflow, which represents all stages of the assay and has been developed and uploaded in Flux. This workflow models the activities of cytotoxicity assays performed as described in the OECD 129 Guidance Document. Conclusions FluxCTTX presents a solution for the management of the data produced by cytotoxicity assays performed at Interlaboratory comparisons. Its adoption will contribute to guarantee the quality of activities in the process of cytotoxicity tests and enforce the use of Good Laboratory Practices (GLP). Furthermore, the workflow developed is complete and can be adapted to other contexts and different tests for management of other types of data.
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700	1		\|a Granjeiro, José M \|4 aut
700	1		\|a Campos, Sérgio VA \|4 aut
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allfields	10.1186/1471-2105-16-S19-S8 doi (DE-627)SPR026901862 (SPR)1471-2105-16-S19-S8-e DE-627 ger DE-627 rakwb eng Faria-Campos, Alessandra C verfasserin aut FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Faria-Campos et al. 2015 Background Cytotoxicity assays have been used by researchers to screen for cytotoxicity in compound libraries. Researchers can either look for cytotoxic compounds or screen "hits" from initial high-throughput drug screens for unwanted cytotoxic effects before investing in their development as a pharmaceutical. These assays may be used as an alternative to animal experimentation and are becoming increasingly important in modern laboratories. However, the execution of these assays in large scale and different laboratories requires, among other things, the management of protocols, reagents, cell lines used as well as the data produced, which can be a challenge. The management of all this information is greatly improved by the utilization of computational tools to save time and guarantee quality. However, a tool that performs this task designed specifically for cytotoxicity assays is not yet available. Results In this work, we have used a workflow based LIMS -- the Flux system -- and the Together Workflow Editor as a framework to develop FluxCTTX, a tool for management of data from cytotoxicity assays performed at different laboratories. The main work is the development of a workflow, which represents all stages of the assay and has been developed and uploaded in Flux. This workflow models the activities of cytotoxicity assays performed as described in the OECD 129 Guidance Document. Conclusions FluxCTTX presents a solution for the management of the data produced by cytotoxicity assays performed at Interlaboratory comparisons. Its adoption will contribute to guarantee the quality of activities in the process of cytotoxicity tests and enforce the use of Good Laboratory Practices (GLP). Furthermore, the workflow developed is complete and can be adapted to other contexts and different tests for management of other types of data. Laboratory Information Management Systems (dpeaa)DE-He213 Workflow (dpeaa)DE-He213 Cytotoxicity Tests (dpeaa)DE-He213 OECD129 (dpeaa)DE-He213 Good Laboratory Practices (dpeaa)DE-He213 Interlaboratory comparison (dpeaa)DE-He213 Balottin, Luciene B aut Zuin, Gianlucca aut Garcia, Vinicius aut Batista, Paulo HS aut Granjeiro, José M aut Campos, Sérgio VA aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 16(2015), Suppl 19 vom: 16. Dez. (DE-627)326644814 (DE-600)2041484-5 1471-2105 nnns volume:16 year:2015 number:Suppl 19 day:16 month:12 https://dx.doi.org/10.1186/1471-2105-16-S19-S8 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 16 2015 Suppl 19 16 12
spelling	10.1186/1471-2105-16-S19-S8 doi (DE-627)SPR026901862 (SPR)1471-2105-16-S19-S8-e DE-627 ger DE-627 rakwb eng Faria-Campos, Alessandra C verfasserin aut FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Faria-Campos et al. 2015 Background Cytotoxicity assays have been used by researchers to screen for cytotoxicity in compound libraries. Researchers can either look for cytotoxic compounds or screen "hits" from initial high-throughput drug screens for unwanted cytotoxic effects before investing in their development as a pharmaceutical. These assays may be used as an alternative to animal experimentation and are becoming increasingly important in modern laboratories. However, the execution of these assays in large scale and different laboratories requires, among other things, the management of protocols, reagents, cell lines used as well as the data produced, which can be a challenge. The management of all this information is greatly improved by the utilization of computational tools to save time and guarantee quality. However, a tool that performs this task designed specifically for cytotoxicity assays is not yet available. Results In this work, we have used a workflow based LIMS -- the Flux system -- and the Together Workflow Editor as a framework to develop FluxCTTX, a tool for management of data from cytotoxicity assays performed at different laboratories. The main work is the development of a workflow, which represents all stages of the assay and has been developed and uploaded in Flux. This workflow models the activities of cytotoxicity assays performed as described in the OECD 129 Guidance Document. Conclusions FluxCTTX presents a solution for the management of the data produced by cytotoxicity assays performed at Interlaboratory comparisons. Its adoption will contribute to guarantee the quality of activities in the process of cytotoxicity tests and enforce the use of Good Laboratory Practices (GLP). Furthermore, the workflow developed is complete and can be adapted to other contexts and different tests for management of other types of data. Laboratory Information Management Systems (dpeaa)DE-He213 Workflow (dpeaa)DE-He213 Cytotoxicity Tests (dpeaa)DE-He213 OECD129 (dpeaa)DE-He213 Good Laboratory Practices (dpeaa)DE-He213 Interlaboratory comparison (dpeaa)DE-He213 Balottin, Luciene B aut Zuin, Gianlucca aut Garcia, Vinicius aut Batista, Paulo HS aut Granjeiro, José M aut Campos, Sérgio VA aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 16(2015), Suppl 19 vom: 16. Dez. (DE-627)326644814 (DE-600)2041484-5 1471-2105 nnns volume:16 year:2015 number:Suppl 19 day:16 month:12 https://dx.doi.org/10.1186/1471-2105-16-S19-S8 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 16 2015 Suppl 19 16 12
allfields_unstemmed	10.1186/1471-2105-16-S19-S8 doi (DE-627)SPR026901862 (SPR)1471-2105-16-S19-S8-e DE-627 ger DE-627 rakwb eng Faria-Campos, Alessandra C verfasserin aut FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Faria-Campos et al. 2015 Background Cytotoxicity assays have been used by researchers to screen for cytotoxicity in compound libraries. Researchers can either look for cytotoxic compounds or screen "hits" from initial high-throughput drug screens for unwanted cytotoxic effects before investing in their development as a pharmaceutical. These assays may be used as an alternative to animal experimentation and are becoming increasingly important in modern laboratories. However, the execution of these assays in large scale and different laboratories requires, among other things, the management of protocols, reagents, cell lines used as well as the data produced, which can be a challenge. The management of all this information is greatly improved by the utilization of computational tools to save time and guarantee quality. However, a tool that performs this task designed specifically for cytotoxicity assays is not yet available. Results In this work, we have used a workflow based LIMS -- the Flux system -- and the Together Workflow Editor as a framework to develop FluxCTTX, a tool for management of data from cytotoxicity assays performed at different laboratories. The main work is the development of a workflow, which represents all stages of the assay and has been developed and uploaded in Flux. This workflow models the activities of cytotoxicity assays performed as described in the OECD 129 Guidance Document. Conclusions FluxCTTX presents a solution for the management of the data produced by cytotoxicity assays performed at Interlaboratory comparisons. Its adoption will contribute to guarantee the quality of activities in the process of cytotoxicity tests and enforce the use of Good Laboratory Practices (GLP). Furthermore, the workflow developed is complete and can be adapted to other contexts and different tests for management of other types of data. Laboratory Information Management Systems (dpeaa)DE-He213 Workflow (dpeaa)DE-He213 Cytotoxicity Tests (dpeaa)DE-He213 OECD129 (dpeaa)DE-He213 Good Laboratory Practices (dpeaa)DE-He213 Interlaboratory comparison (dpeaa)DE-He213 Balottin, Luciene B aut Zuin, Gianlucca aut Garcia, Vinicius aut Batista, Paulo HS aut Granjeiro, José M aut Campos, Sérgio VA aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 16(2015), Suppl 19 vom: 16. Dez. (DE-627)326644814 (DE-600)2041484-5 1471-2105 nnns volume:16 year:2015 number:Suppl 19 day:16 month:12 https://dx.doi.org/10.1186/1471-2105-16-S19-S8 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 16 2015 Suppl 19 16 12
allfieldsGer	10.1186/1471-2105-16-S19-S8 doi (DE-627)SPR026901862 (SPR)1471-2105-16-S19-S8-e DE-627 ger DE-627 rakwb eng Faria-Campos, Alessandra C verfasserin aut FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Faria-Campos et al. 2015 Background Cytotoxicity assays have been used by researchers to screen for cytotoxicity in compound libraries. Researchers can either look for cytotoxic compounds or screen "hits" from initial high-throughput drug screens for unwanted cytotoxic effects before investing in their development as a pharmaceutical. These assays may be used as an alternative to animal experimentation and are becoming increasingly important in modern laboratories. However, the execution of these assays in large scale and different laboratories requires, among other things, the management of protocols, reagents, cell lines used as well as the data produced, which can be a challenge. The management of all this information is greatly improved by the utilization of computational tools to save time and guarantee quality. However, a tool that performs this task designed specifically for cytotoxicity assays is not yet available. Results In this work, we have used a workflow based LIMS -- the Flux system -- and the Together Workflow Editor as a framework to develop FluxCTTX, a tool for management of data from cytotoxicity assays performed at different laboratories. The main work is the development of a workflow, which represents all stages of the assay and has been developed and uploaded in Flux. This workflow models the activities of cytotoxicity assays performed as described in the OECD 129 Guidance Document. Conclusions FluxCTTX presents a solution for the management of the data produced by cytotoxicity assays performed at Interlaboratory comparisons. Its adoption will contribute to guarantee the quality of activities in the process of cytotoxicity tests and enforce the use of Good Laboratory Practices (GLP). Furthermore, the workflow developed is complete and can be adapted to other contexts and different tests for management of other types of data. Laboratory Information Management Systems (dpeaa)DE-He213 Workflow (dpeaa)DE-He213 Cytotoxicity Tests (dpeaa)DE-He213 OECD129 (dpeaa)DE-He213 Good Laboratory Practices (dpeaa)DE-He213 Interlaboratory comparison (dpeaa)DE-He213 Balottin, Luciene B aut Zuin, Gianlucca aut Garcia, Vinicius aut Batista, Paulo HS aut Granjeiro, José M aut Campos, Sérgio VA aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 16(2015), Suppl 19 vom: 16. Dez. (DE-627)326644814 (DE-600)2041484-5 1471-2105 nnns volume:16 year:2015 number:Suppl 19 day:16 month:12 https://dx.doi.org/10.1186/1471-2105-16-S19-S8 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 16 2015 Suppl 19 16 12
allfieldsSound	10.1186/1471-2105-16-S19-S8 doi (DE-627)SPR026901862 (SPR)1471-2105-16-S19-S8-e DE-627 ger DE-627 rakwb eng Faria-Campos, Alessandra C verfasserin aut FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Faria-Campos et al. 2015 Background Cytotoxicity assays have been used by researchers to screen for cytotoxicity in compound libraries. Researchers can either look for cytotoxic compounds or screen "hits" from initial high-throughput drug screens for unwanted cytotoxic effects before investing in their development as a pharmaceutical. These assays may be used as an alternative to animal experimentation and are becoming increasingly important in modern laboratories. However, the execution of these assays in large scale and different laboratories requires, among other things, the management of protocols, reagents, cell lines used as well as the data produced, which can be a challenge. The management of all this information is greatly improved by the utilization of computational tools to save time and guarantee quality. However, a tool that performs this task designed specifically for cytotoxicity assays is not yet available. Results In this work, we have used a workflow based LIMS -- the Flux system -- and the Together Workflow Editor as a framework to develop FluxCTTX, a tool for management of data from cytotoxicity assays performed at different laboratories. The main work is the development of a workflow, which represents all stages of the assay and has been developed and uploaded in Flux. This workflow models the activities of cytotoxicity assays performed as described in the OECD 129 Guidance Document. Conclusions FluxCTTX presents a solution for the management of the data produced by cytotoxicity assays performed at Interlaboratory comparisons. Its adoption will contribute to guarantee the quality of activities in the process of cytotoxicity tests and enforce the use of Good Laboratory Practices (GLP). Furthermore, the workflow developed is complete and can be adapted to other contexts and different tests for management of other types of data. Laboratory Information Management Systems (dpeaa)DE-He213 Workflow (dpeaa)DE-He213 Cytotoxicity Tests (dpeaa)DE-He213 OECD129 (dpeaa)DE-He213 Good Laboratory Practices (dpeaa)DE-He213 Interlaboratory comparison (dpeaa)DE-He213 Balottin, Luciene B aut Zuin, Gianlucca aut Garcia, Vinicius aut Batista, Paulo HS aut Granjeiro, José M aut Campos, Sérgio VA aut Enthalten in BMC bioinformatics London : BioMed Central, 2000 16(2015), Suppl 19 vom: 16. Dez. (DE-627)326644814 (DE-600)2041484-5 1471-2105 nnns volume:16 year:2015 number:Suppl 19 day:16 month:12 https://dx.doi.org/10.1186/1471-2105-16-S19-S8 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 16 2015 Suppl 19 16 12
language	English
source	Enthalten in BMC bioinformatics 16(2015), Suppl 19 vom: 16. Dez. volume:16 year:2015 number:Suppl 19 day:16 month:12
sourceStr	Enthalten in BMC bioinformatics 16(2015), Suppl 19 vom: 16. Dez. volume:16 year:2015 number:Suppl 19 day:16 month:12
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Laboratory Information Management Systems Workflow Cytotoxicity Tests OECD129 Good Laboratory Practices Interlaboratory comparison
isfreeaccess_bool	true
container_title	BMC bioinformatics
authorswithroles_txt_mv	Faria-Campos, Alessandra C @@aut@@ Balottin, Luciene B @@aut@@ Zuin, Gianlucca @@aut@@ Garcia, Vinicius @@aut@@ Batista, Paulo HS @@aut@@ Granjeiro, José M @@aut@@ Campos, Sérgio VA @@aut@@
publishDateDaySort_date	2015-12-16T00:00:00Z
hierarchy_top_id	326644814
id	SPR026901862
language_de	englisch
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Researchers can either look for cytotoxic compounds or screen "hits" from initial high-throughput drug screens for unwanted cytotoxic effects before investing in their development as a pharmaceutical. These assays may be used as an alternative to animal experimentation and are becoming increasingly important in modern laboratories. However, the execution of these assays in large scale and different laboratories requires, among other things, the management of protocols, reagents, cell lines used as well as the data produced, which can be a challenge. The management of all this information is greatly improved by the utilization of computational tools to save time and guarantee quality. However, a tool that performs this task designed specifically for cytotoxicity assays is not yet available. Results In this work, we have used a workflow based LIMS -- the Flux system -- and the Together Workflow Editor as a framework to develop FluxCTTX, a tool for management of data from cytotoxicity assays performed at different laboratories. The main work is the development of a workflow, which represents all stages of the assay and has been developed and uploaded in Flux. This workflow models the activities of cytotoxicity assays performed as described in the OECD 129 Guidance Document. Conclusions FluxCTTX presents a solution for the management of the data produced by cytotoxicity assays performed at Interlaboratory comparisons. Its adoption will contribute to guarantee the quality of activities in the process of cytotoxicity tests and enforce the use of Good Laboratory Practices (GLP). 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author	Faria-Campos, Alessandra C
spellingShingle	Faria-Campos, Alessandra C misc Laboratory Information Management Systems misc Workflow misc Cytotoxicity Tests misc OECD129 misc Good Laboratory Practices misc Interlaboratory comparison FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data
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topic_title	FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data Laboratory Information Management Systems (dpeaa)DE-He213 Workflow (dpeaa)DE-He213 Cytotoxicity Tests (dpeaa)DE-He213 OECD129 (dpeaa)DE-He213 Good Laboratory Practices (dpeaa)DE-He213 Interlaboratory comparison (dpeaa)DE-He213
topic	misc Laboratory Information Management Systems misc Workflow misc Cytotoxicity Tests misc OECD129 misc Good Laboratory Practices misc Interlaboratory comparison
topic_unstemmed	misc Laboratory Information Management Systems misc Workflow misc Cytotoxicity Tests misc OECD129 misc Good Laboratory Practices misc Interlaboratory comparison
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title	FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data
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title_full	FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data
author_sort	Faria-Campos, Alessandra C
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author_browse	Faria-Campos, Alessandra C Balottin, Luciene B Zuin, Gianlucca Garcia, Vinicius Batista, Paulo HS Granjeiro, José M Campos, Sérgio VA
container_volume	16
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author-letter	Faria-Campos, Alessandra C
doi_str_mv	10.1186/1471-2105-16-S19-S8
title_sort	fluxcttx: a lims-based tool for management and analysis of cytotoxicity assays data
title_auth	FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data
abstract	Background Cytotoxicity assays have been used by researchers to screen for cytotoxicity in compound libraries. Researchers can either look for cytotoxic compounds or screen "hits" from initial high-throughput drug screens for unwanted cytotoxic effects before investing in their development as a pharmaceutical. These assays may be used as an alternative to animal experimentation and are becoming increasingly important in modern laboratories. However, the execution of these assays in large scale and different laboratories requires, among other things, the management of protocols, reagents, cell lines used as well as the data produced, which can be a challenge. The management of all this information is greatly improved by the utilization of computational tools to save time and guarantee quality. However, a tool that performs this task designed specifically for cytotoxicity assays is not yet available. Results In this work, we have used a workflow based LIMS -- the Flux system -- and the Together Workflow Editor as a framework to develop FluxCTTX, a tool for management of data from cytotoxicity assays performed at different laboratories. The main work is the development of a workflow, which represents all stages of the assay and has been developed and uploaded in Flux. This workflow models the activities of cytotoxicity assays performed as described in the OECD 129 Guidance Document. Conclusions FluxCTTX presents a solution for the management of the data produced by cytotoxicity assays performed at Interlaboratory comparisons. Its adoption will contribute to guarantee the quality of activities in the process of cytotoxicity tests and enforce the use of Good Laboratory Practices (GLP). Furthermore, the workflow developed is complete and can be adapted to other contexts and different tests for management of other types of data. © Faria-Campos et al. 2015
abstractGer	Background Cytotoxicity assays have been used by researchers to screen for cytotoxicity in compound libraries. Researchers can either look for cytotoxic compounds or screen "hits" from initial high-throughput drug screens for unwanted cytotoxic effects before investing in their development as a pharmaceutical. These assays may be used as an alternative to animal experimentation and are becoming increasingly important in modern laboratories. However, the execution of these assays in large scale and different laboratories requires, among other things, the management of protocols, reagents, cell lines used as well as the data produced, which can be a challenge. The management of all this information is greatly improved by the utilization of computational tools to save time and guarantee quality. However, a tool that performs this task designed specifically for cytotoxicity assays is not yet available. Results In this work, we have used a workflow based LIMS -- the Flux system -- and the Together Workflow Editor as a framework to develop FluxCTTX, a tool for management of data from cytotoxicity assays performed at different laboratories. The main work is the development of a workflow, which represents all stages of the assay and has been developed and uploaded in Flux. This workflow models the activities of cytotoxicity assays performed as described in the OECD 129 Guidance Document. Conclusions FluxCTTX presents a solution for the management of the data produced by cytotoxicity assays performed at Interlaboratory comparisons. Its adoption will contribute to guarantee the quality of activities in the process of cytotoxicity tests and enforce the use of Good Laboratory Practices (GLP). Furthermore, the workflow developed is complete and can be adapted to other contexts and different tests for management of other types of data. © Faria-Campos et al. 2015
abstract_unstemmed	Background Cytotoxicity assays have been used by researchers to screen for cytotoxicity in compound libraries. Researchers can either look for cytotoxic compounds or screen "hits" from initial high-throughput drug screens for unwanted cytotoxic effects before investing in their development as a pharmaceutical. These assays may be used as an alternative to animal experimentation and are becoming increasingly important in modern laboratories. However, the execution of these assays in large scale and different laboratories requires, among other things, the management of protocols, reagents, cell lines used as well as the data produced, which can be a challenge. The management of all this information is greatly improved by the utilization of computational tools to save time and guarantee quality. However, a tool that performs this task designed specifically for cytotoxicity assays is not yet available. Results In this work, we have used a workflow based LIMS -- the Flux system -- and the Together Workflow Editor as a framework to develop FluxCTTX, a tool for management of data from cytotoxicity assays performed at different laboratories. The main work is the development of a workflow, which represents all stages of the assay and has been developed and uploaded in Flux. This workflow models the activities of cytotoxicity assays performed as described in the OECD 129 Guidance Document. Conclusions FluxCTTX presents a solution for the management of the data produced by cytotoxicity assays performed at Interlaboratory comparisons. Its adoption will contribute to guarantee the quality of activities in the process of cytotoxicity tests and enforce the use of Good Laboratory Practices (GLP). Furthermore, the workflow developed is complete and can be adapted to other contexts and different tests for management of other types of data. © Faria-Campos et al. 2015
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container_issue	Suppl 19
title_short	FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data
url	https://dx.doi.org/10.1186/1471-2105-16-S19-S8
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author2	Balottin, Luciene B Zuin, Gianlucca Garcia, Vinicius Batista, Paulo HS Granjeiro, José M Campos, Sérgio VA
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FluxCTTX: A LIMS-based tool for management and analysis of cytotoxicity assays data

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