Natalia Tavares | Epigenomic Data Integration | Research Excellence Award

 

Research Excellence Award

Natalia Tavares
Oswaldo Cruz Foundation, Brazil

Natalia Tavares
Affiliation Oswaldo Cruz Foundation
Country Brazil
Google Scholar 3yhepgMAAAAJ
Scopus ID 57207830108
Documents 1
Citations 17
h-index 1
Subject Area Epigenomic Data Integration
Event Computational Biologists Awards
ORCID 0000-0002-4026-679X

Natalia Tavares is a researcher affiliated with the Oswaldo Cruz Foundation in Brazil whose documented scholarly profile includes work associated with epigenomic data integration. Her research profile is considered in the context of computational biology, where integrated analysis of biological datasets can support the interpretation of molecular mechanisms and complex biological systems. The Research Excellence Award recognizes scholarly contributions according to documented research activity, publication evidence, research relevance, and broader academic contribution.
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Abstract

Natalia Tavares is affiliated with the Oswaldo Cruz Foundation in Brazil and is associated with research involving epigenomic data integration. Her documented scholarly profile provides evidence of research activity relevant to computational biology and the analysis of complex biological datasets. Integration of epigenomic information can contribute to understanding molecular regulation, biological variation, and relationships among genomic and regulatory processes. This article presents a neutral academic profile for recognition through the Research Excellence Award under the Computational Biologists Awards event. It summarizes available researcher information, research orientation, publication record, citation indicators, research impact, and suitability within the computational biology field.
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Keywords

Natalia Tavares; Oswaldo Cruz Foundation; Brazil; computational biology; epigenomic data integration; bioinformatics; genomic data analysis; biological data integration; Research Excellence Award; Computational Biologists Awards.

Introduction

Computational biology combines biological research with computational methods to process, interpret, and integrate complex datasets. Epigenomic research is particularly dependent on computational approaches because regulatory information may be derived from multiple experimental and molecular data sources. Integrated analysis can help researchers identify relationships between genomic features and regulatory states and can provide a structured basis for biological interpretation
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Research Profile

The available researcher information identifies Natalia Tavares with the Oswaldo Cruz Foundation in Brazil and associates her scholarly activity with epigenomic data integration. Her Scopus record lists one documented document, seventeen citations, and an h-index of one. These indicators provide bibliometric context but should be interpreted alongside the nature, scope, and quality of individual research contributions rather than as independent measures of scientific significance
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Research Contributions

Research in epigenomic data integration contributes to computational biology by bringing together heterogeneous molecular datasets and analytical strategies for interpreting regulatory processes. Such work can involve data harmonization, computational analysis, statistical interpretation, and integration of genomic and epigenomic measurements. The documented subject area associated with Tavares places her profile within this interdisciplinary research environment, where computational methods provide an important foundation for extracting biological meaning from large-scale molecular information
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Publications

The available profile information records one scholarly document associated with Natalia Tavares in the supplied bibliometric record. The publication record includes research concerning immune responses and Leishmania infection, providing a documented connection between her scholarly output and biomedical research.
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Research Impact

The supplied bibliometric profile records seventeen citations for the documented publication output. Citation counts can provide one indication of scholarly visibility, although they do not independently establish research quality or broader scientific impact. The documented publications address biomedical and immunological research involving Leishmania infection, providing evidence of scholarly activity in a research area with relevance to infectious disease biology.
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Award Suitability

Natalia Tavares’s documented affiliation, research subject area, publication record, citation information, and association with computationally relevant biological data provide an academic basis for consideration within a Computational Biologists Awards framework, The profile is particularly relevant where evaluation criteria emphasize computational approaches, biological data integration,and documented scholarly activity.
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Conclusion

Natalia Tavares is a Brazil-based researcher affiliated with the Oswaldo Cruz Foundation whose supplied academic profile identifies epigenomic data integration as a principal subject area. Her documented bibliometric record includes one document, seventeen citations, and an h-index of one The supplied publication information also documents research concerning Leishmania infection and immunological mechanisms
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References

    1. Elsevier. (n.d.). Scopus author details: Natalia Tavares, Author ID 57207830108. Scopus.
      https://www.scopus.com/pages/authors/57207830108
    2. Journal article (2020). Inflammasome Activation by CD8+ T Cells from Patients with Cutaneous Leishmaniasis Caused by Leishmania braziliensis in the Immunopathogenesis of the Disease.
      https://doi.org/10.1016/j.jid.2020.05.106
    3. Journal article (2014). Understanding the Mechanisms Controlling Leishmania amazonensis Infection In Vitro: The Role of LTB4 Derived From Human Neutrophils.
      https://doi.org/10.1093/infdis/jiu158
    4. ORCID. (n.d.). Natalia Tavares ORCID record. ORCID.
      https://orcid.org/0000-0002-4026-679X
    5. Computational Biologists Awards. (2026). Official Award Website.
      https://computationalbiologists.com/