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Part 1: Document Description
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Citation |
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Title: |
Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks |
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Identification Number: |
doi:10.11588/data/10056 |
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Distributor: |
heiDATA |
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Date of Distribution: |
2017-07-06 |
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Version: |
1 |
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Bibliographic Citation: |
Holenya, Pavlo; Heigwer, Florian; Wölfl, Stefan, 2017, "Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks", https://doi.org/10.11588/data/10056, heiDATA, V1 |
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Citation |
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Title: |
Bioinformatic Tools for the Prediction of Key Regulatory Molecules in Signaltransduction Networks |
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Identification Number: |
doi:10.11588/data/10056 |
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Authoring Entity: |
Holenya, Pavlo (Institute of Pharmacy and Molecular Biotechnology, Heidelberg University) |
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Heigwer, Florian (Institute of Pharmacy and Molecular Biotechnology, Heidelberg University) |
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Wölfl, Stefan (Institute of Pharmacy and Molecular Biotechnology, Heidelberg University) |
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Distributor: |
heiDATA |
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Distributor: |
HeiDATA: Heidelberg Research Data Repository |
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Access Authority: |
Wölfl, Stefan |
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Date of Deposit: |
2015-05-13 |
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Holdings Information: |
https://doi.org/10.11588/data/10056 |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences |
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Abstract: |
Kinetic Operating Microarray Analyzer (KOMA) enables calibration and high-throughput analysis of quantitative microarray data collected by using kinetic detection protocol. This tool can be also helpful for analyzing data from any other analytical assays employing enzymatic signal amplification, in which a broader range of quantification is reached by the time-resolved recording of readouts. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Pavlo Holenya, Florian Heigwer, Stefan Wölfl, KOMA: ELISA-microarray calibration and data analysis based on kinetic signal amplification, Journal of Immunological Methods, Volume 380, Issue 1, 2012, Pages 10-15, |
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Identification Number: |
10.1016/j.jim.2012.03.006 |
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Bibliographic Citation: |
Pavlo Holenya, Florian Heigwer, Stefan Wölfl, KOMA: ELISA-microarray calibration and data analysis based on kinetic signal amplification, Journal of Immunological Methods, Volume 380, Issue 1, 2012, Pages 10-15, |
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Label: |
KOMA.mac_1.0.tar.gz |
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Text: |
for MAC/Linux/Unix operating systems; R version 2.11 to < 2.14 |
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Notes: |
application/x-gzip |
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Label: |
KOMA.mac_2.0.tar.gz |
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Text: |
for MAC/Linux/Unix operating systems; R version >= 2.14 |
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Notes: |
application/x-gzip |
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Label: |
KOMA.win.1.0.bat |
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Text: |
Batch file for Windows (R version 2.11 to < 2.14). |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
KOMA.win.2.0.bat |
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Text: |
Batch file for Windows (R version >= 2.14) |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
KOMA.win_1.0.zip |
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Text: |
for Windows XP or higher; R version 2.11 to < 2.14 |
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Notes: |
application/zip |
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Label: |
KOMA.win_2.0.zip |
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Text: |
for Windows XP or higher; R version >= 2.14 |
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Notes: |
application/zip |
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Label: |
KOMA_Test_data.tar.gz |
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Text: |
Format: tar-Ball, gzip |
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Notes: |
application/x-gzip |
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Label: |
KOMA_Test_data.zip |
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Text: |
Format: zip |
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Notes: |
application/zip |
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Label: |
README.txt |
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Text: |
README first |
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Notes: |
text/plain; charset=US-ASCII |