Nolte, Hendrik, MacVicar, Thomas D., Tellkamp, Frederik ORCID: 0000-0002-0473-7320 and Krueger, Marcus (2018). Instant Clue: A Software Suite for Interactive Data Visualization and Analysis. Sci Rep, 8. LONDON: NATURE PUBLISHING GROUP. ISSN 2045-2322

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Abstract

The development of modern high-throughput instrumentation and improved core facility infrastructures leads to an accumulation of large amounts of scientific data. However, for a majority of scientists the comprehensive analysis and visualization of their data goes beyond their expertise. To reduce this hurdle, we developed a software suite called Instant Clue that helps scientists to visually analyze data and to gain insights into biological processes from their high-dimensional dataset. Instant Clue combines the power of visual and statistical analytics using a straight forward drag & drop approach making the software highly intuitive. Additionally, it offers a comprehensive portfolio of statistical tools for systematic analysis such as dimensional reduction, (un)-supervised learning, clustering, multi-block (omics) integration and curve fitting. Charts can be combined with high flexibility into a main figure template for direct usage in scientific publications. Even though Instant Clue was developed with the omics-sciences in mind, users can analyze any kind of data from low to high dimensional data sets. The open-source software is available for Windows and Mac OS (http://www.instantclue.uni-koeln.de) and is accompanied by a detailed video tutorial series.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Nolte, HendrikUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
MacVicar, Thomas D.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tellkamp, FrederikUNSPECIFIEDorcid.org/0000-0002-0473-7320UNSPECIFIED
Krueger, MarcusUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-176101
DOI: 10.1038/s41598-018-31154-6
Journal or Publication Title: Sci Rep
Volume: 8
Date: 2018
Publisher: NATURE PUBLISHING GROUP
Place of Publication: LONDON
ISSN: 2045-2322
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
PHOSPHOPROTEOME REVEALS; QUANTITATIVE-ANALYSIS; TOOL; MITOCHONDRIA; SYSTEM; PARLMultiple languages
Multidisciplinary SciencesMultiple languages
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/17610

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