Detail publikace

Unlocking Genetic Prognostication: Cage App – Computer-Aided Approach for Genomics Prediction

SCHWARZEROVÁ, J. NOHEL, M. SITKOVA, R. SKARDA, J. CHMELÍK, J. PROVAZNÍK, V. WECKWERTH, W.

Originální název

Unlocking Genetic Prognostication: Cage App – Computer-Aided Approach for Genomics Prediction

Typ

abstrakt

Jazyk

angličtina

Originální abstrakt

Advanced sequencing techniques have propelled molecular biology research into what is often termed the post-genomic era. Consequently, there's a heightened focus on unraveling the functional connections between individual genes and their ultimate phenotypic expression. This newly developed app, designed within Matlab2023b App Designer, holds signicant promise for opening new and optimal pathways in predictive genomics. We developed user-friendly app for uploading genomics (in form single nucleotide polymorphisms (SNPs)), metabolomics and phenotype data, their visualization and subsequently prediction analysis using different methods such as linear, non-linear and also deep learning for genomic prediction and calculated polygenic risk score and GWAS with visualization which is implemented in Matlab2022b.

Klíčová slova

Post-Genomic Era, Genomic Prediction, Metabolomics, Matlab App Designer

Autoři

SCHWARZEROVÁ, J.; NOHEL, M.; SITKOVA, R.; SKARDA, J.; CHMELÍK, J.; PROVAZNÍK, V.; WECKWERTH, W.

Vydáno

5. 6. 2024

Místo

Kladno, Czech Republik

Strany počet

1

URL

https://ventilation.fbmi.cvut.cz/wp-content/uploads/2024/07/YBERC_2024_Book_of_abstracts.pdf

BibTex

@misc{BUT193462,
  author="Jana {Schwarzerová} and Michal {Nohel} and Radka {Sitkova} and Jozef {Skarda} and Jiří {Chmelík} and Valentine {Provazník} and Wolfram {Weckwerth}",
  title="Unlocking Genetic Prognostication: Cage App – Computer-Aided Approach for Genomics Prediction",
  year="2024",
  pages="1",
  address="Kladno, Czech Republik",
  url="https://ventilation.fbmi.cvut.cz/wp-content/uploads/2024/07/YBERC_2024_Book_of_abstracts.pdf",
  note="abstract"
}