Universität zu Köln

Nolte, Hendrik, MacVicar, Thomas D., Tellkamp, Frederik ORCID: 0000-0002-0473-7320 and Krueger, Marcus ORCID: 0000-0003-2008-4582 (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:	Creators Email ORCID ORCID Put Code Nolte, Hendrik UNSPECIFIED UNSPECIFIED UNSPECIFIED MacVicar, Thomas D. UNSPECIFIED UNSPECIFIED UNSPECIFIED Tellkamp, Frederik UNSPECIFIED orcid.org/0000-0002-0473-7320 UNSPECIFIED Krueger, Marcus UNSPECIFIED orcid.org/0000-0003-2008-4582 UNSPECIFIED
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:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Biology > Institute for Genetics
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language PHOSPHOPROTEOME REVEALS; QUANTITATIVE-ANALYSIS; TOOL; MITOCHONDRIA; SYSTEM; PARL Multiple languages Multidisciplinary Sciences Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/17610