Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Najla Abassi"'
Publikováno v:
GigaByte (2024)
The expanding availability of large-scale genomic data and the growing interest in uncovering gene-disease associations call for efficient tools to visualize and evaluate gene expression and genetic variation data. Here, we developed a comprehensive
Externí odkaz:
https://doaj.org/article/8c76f9a6865c410c8e658dbd2f68d020
Autor:
Lilia Romdhane, Sameh Kefi, Nessrine Mezzi, Najla Abassi, Haifa Jmel, Safa Romdhane, Jingxuan Shan, Lotfi Chouchane, Sonia Abdelhak
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Admixture mapping has been useful in identifying genetic variations linked to phenotypes, adaptation and diseases. Copy number variations (CNVs) represents genomic structural variants spanning large regions of chromosomes reaching several me
Externí odkaz:
https://doaj.org/article/74ddedd6d9b74cfca46ce714398b9c4f