Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Anai, T.

  • Google
  • 1
  • 3
  • 14

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2018Selection criteria for SNP loci to maximize robustness of high-resolution melting analysis for plant breeding.14citations

Places of action

Chart of shared publication
Yoshimura, A.
1 / 1 shared
Yamagata, Y.
1 / 1 shared
Watanabe, Satoshi
1 / 3 shared
Chart of publication period
2018

Co-Authors (by relevance)

  • Yoshimura, A.
  • Yamagata, Y.
  • Watanabe, Satoshi
OrganizationsLocationPeople

article

Selection criteria for SNP loci to maximize robustness of high-resolution melting analysis for plant breeding.

  • Anai, T.
  • Yoshimura, A.
  • Yamagata, Y.
  • Watanabe, Satoshi
Abstract

DNA markers are useful for identifying genes and developing new genetic materials for breeding and genetic research. High-resolution melting (HRM) analysis can detect a single nucleotide polymorphism (SNP) in two polymerase chain reaction (PCR) fragments as a melting temperature (Tm) difference without additional experimental steps, such as gel electrophoresis. To design a method for developing reliable HRM markers that discriminate between homozygous alleles containing SNPs, we tested new evaluation indexes related to the thermodynamics of double-stranded DNA to find one that maximizes the difference in Tm values between PCR fragments. We found that differences in the change in Gibbs free energy (Δ<i>G°</i>) correlated with actual differences in Tm values. Optimization of the nearest neighboring nucleotide (NNN) of a SNP by nucleotide substitution in the primer and reducing the size of the PCR fragment both enlarged the actual differences in Tm. The genetic DNA markers we developed by NNN substitution, termed NNNs-HRM markers, could be precisely mapped within soybean chromosomes by linkage analysis. We developed a Perl script pipeline to enable the automatic design of a massive number of NNNs-HRM markers; these scripts are freely available and would be useful for practical breeding programs for other plant species.

Topics
  • melting temperature