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%

Topics

Publications (3/3 displayed)

  • 2024A Validated Highly Sensitive Microsatellite Instability Assay Accurately Identifies Individuals Harboring Biallelic Germline PMS2 Pathogenic Variants in Constitutional Mismatch Repair Deficiency1citations
  • 2023Cost-effectiveness analysis of molecular testing in minimally invasive samples to detect endometrial cancer in women with postmenopausal bleeding3citations
  • 2012Abstract 4445: Defining a pipeline to use next generation sequencing for genetic testing in hereditary cancercitations

Places of action

Chart of shared publication
Wimmer, Katharina
1 / 3 shared
Chung, Jiil
1 / 1 shared
Pérez-Alonso, Vanesa
1 / 1 shared
Marín, Fátima
1 / 1 shared
Bianchi, Vanessa
1 / 1 shared
Canet-Hermida, Júlia
1 / 1 shared
González-Granado, Luis Ignacio
1 / 1 shared
Fioravantti, Victoria
1 / 1 shared
Sábado, Constantino
1 / 1 shared
Capellá, Gabriel
1 / 1 shared
Domínguez-Pinilla, Nerea
1 / 1 shared
Molinés, Antonio
1 / 1 shared
Vázquez-Gómez, Felisa
1 / 1 shared
Carrasco, Estela
1 / 1 shared
Negm, Logine
1 / 1 shared
Edwards, Melissa
1 / 1 shared
Rueda, Daniel
1 / 3 shared
Aronson, Melyssa
1 / 1 shared
Das, Anirban
1 / 2 shared
Pastor, Ángela
1 / 1 shared
Stengs, Lucie
1 / 1 shared
Bruni, Laia
1 / 1 shared
Paytubi, Sonia
1 / 1 shared
Alemany, Laia
1 / 1 shared
Pelegrina, Beatriz
1 / 1 shared
Costas, Laura
1 / 1 shared
Ponce, Jordi
1 / 1 shared
Bosch, Xavier
1 / 1 shared
Sanjosé, Silvia De
1 / 3 shared
Diaz, Mireia
1 / 1 shared
Brunet, Joan
1 / 1 shared
Matias-Guiu, Xavier
1 / 2 shared
Peremiquel-Trillas, Paula
1 / 1 shared
Fernández-González, Sergi
1 / 1 shared
Frias-Gomez, Jon
1 / 1 shared
Gómez, David
1 / 1 shared
Martínez, José Manuel
1 / 1 shared
Lopez-Doriga, Adriana
1 / 1 shared
Lazaro, Conxi
1 / 1 shared
Valle, Jesus Del
1 / 1 shared
Castellsague, Ester
1 / 1 shared
Gonzalez, Sara
1 / 12 shared
Moreno, Victor
1 / 1 shared
Tornero, Eva
1 / 1 shared
Capella, Gabriel
1 / 1 shared
Feliubadalo, Lidia
1 / 1 shared
Chart of publication period
2024
2023
2012

Co-Authors (by relevance)

  • Wimmer, Katharina
  • Chung, Jiil
  • Pérez-Alonso, Vanesa
  • Marín, Fátima
  • Bianchi, Vanessa
  • Canet-Hermida, Júlia
  • González-Granado, Luis Ignacio
  • Fioravantti, Victoria
  • Sábado, Constantino
  • Capellá, Gabriel
  • Domínguez-Pinilla, Nerea
  • Molinés, Antonio
  • Vázquez-Gómez, Felisa
  • Carrasco, Estela
  • Negm, Logine
  • Edwards, Melissa
  • Rueda, Daniel
  • Aronson, Melyssa
  • Das, Anirban
  • Pastor, Ángela
  • Stengs, Lucie
  • Bruni, Laia
  • Paytubi, Sonia
  • Alemany, Laia
  • Pelegrina, Beatriz
  • Costas, Laura
  • Ponce, Jordi
  • Bosch, Xavier
  • Sanjosé, Silvia De
  • Diaz, Mireia
  • Brunet, Joan
  • Matias-Guiu, Xavier
  • Peremiquel-Trillas, Paula
  • Fernández-González, Sergi
  • Frias-Gomez, Jon
  • Gómez, David
  • Martínez, José Manuel
  • Lopez-Doriga, Adriana
  • Lazaro, Conxi
  • Valle, Jesus Del
  • Castellsague, Ester
  • Gonzalez, Sara
  • Moreno, Victor
  • Tornero, Eva
  • Capella, Gabriel
  • Feliubadalo, Lidia
OrganizationsLocationPeople

article

Abstract 4445: Defining a pipeline to use next generation sequencing for genetic testing in hereditary cancer

  • Lopez-Doriga, Adriana
  • Lazaro, Conxi
  • Valle, Jesus Del
  • Castellsague, Ester
  • Gonzalez, Sara
  • Moreno, Victor
  • Tornero, Eva
  • Capella, Gabriel
  • Feliubadalo, Lidia
  • Pineda, Marta
Abstract

<jats:title>Abstract</jats:title><jats:p>One of the emerging Next Generation Sequencing (NGS) applications is amplicon resequencing, which can be applied to screen for mutations in defined genes with diagnostic value. However, in this scenario, methods and protocols are still poorly developed. To address this need, we have established a study workflow that integrates experimental work and bioinformatics analyses. Our Unit of Genetic Testing for Hereditary Cancer is using kits for Multiplex Amplification of Specific Targets for Resequencing (MASTR) from the Multiplicom Company in order to generate highly homogeneous gene specific libraries for point mutation detection. Currently we have completed a proof of concept for the Breast Cancer Susceptibility kit (BRCA1 and BRCA2). We analysed a training set of 267 variants in 28 samples, and a validation set of 137 variants in 14 samples. Results from the GS Junior were combined with those resulting from the analysis of the homopolymer sequences in each gene. Sanger confirmation was performed in all the identified DNA variants. Low coverage (&amp;lt;=38x; 1.2% of the target) regions were also Sanger sequenced. The bioinformatics analysis combined the Variant Identification Pipeline software (VIP, De Shrijver, JM et al. BMC Bioinformatics 2010) together with a set of in-house designed R scripts in order to obtain both a Coverage Report as well as a Variant Calling Report. The first training set of 28 samples showed a sensitivity and specificity of 97.6% and 100%, respectively. After the improvement of the kit and the analysis pipeline, the validation set of 14 samples demonstrated an excellent specificity and sensitivity of the pipeline (100% both). In conclusion, we showed that a combined algorithm both at the experimental as well as at the bioinformatics level allows the interpretation of NGS results with a good specificity and sensitivity for diagnosis purposes. We are now finishing our proof of concept for genes responsible for Hereditary Colorectal Cancer, results will be presented at the meeting. This work has been supported by Spanish Ministry of Science and Innovation, Carlos III Health Institute ISCIII (RD06/0020/1050; RD06/0020/1051; PI10/01422; CA10/01474); The Government of Catalonia (2009SGR290) and The Spanish Association Against Cancer.</jats:p><jats:p>Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4445. doi:1538-7445.AM2012-4445</jats:p>

Topics
  • impedance spectroscopy
  • susceptibility
  • homopolymer