Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

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Publications (1/1 displayed)

  • 2008TRiFLe, a Program for In Silico Terminal Restriction Fragment Length Polymorphism Analysis with User-Defined Sequence Sets76citations

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Junier, Pilar
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Junier, Thomas
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2008

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  • Junier, Pilar
  • Junier, Thomas
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article

TRiFLe, a Program for In Silico Terminal Restriction Fragment Length Polymorphism Analysis with User-Defined Sequence Sets

  • Junier, Pilar
  • Junier, Thomas
  • Witzel, Karl-Paul
Abstract

<jats:title>ABSTRACT</jats:title><jats:p>We describe TRiFLe, a freely accessible computer program that generates theoretical terminal restriction fragments (T-RFs) from any user-supplied sequence set tailored to a particular group of organisms, sequences from clone libraries, or sequences from specific genes. The program allows a rapid identification of the most polymorphic enzymes, creates a collection of T-RFs for the data set, and can potentially identify specific T-RFs in T-RF length polymorphism (T-RFLP) patterns by comparing theoretical and experimental results. TRiFLE was used for analyzing T-RFLP data generated for the<jats:italic>amoA</jats:italic>and<jats:italic>pmoA</jats:italic>genes. The peaks identified in the T-RFLP patterns show an overlap of ammonia- and methane-oxidizing bacteria in the metalimnion of a subtropical lake.</jats:p>

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