Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Negin Maleki"'
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab0f66d8534af70f84a5d5f311ccee5b
https://doi.org/10.2139/ssrn.4300496
https://doi.org/10.2139/ssrn.4300496
Autor:
Ali Al-Fatlawi, Eka Rusadze, Alexander Shmelkin, Negin Malekian, Cigdem Ozen, Christian Pilarsky, Michael Schroeder
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-10 (2023)
Abstract Background Integrating multi-omics data is fast becoming a powerful approach for predicting disease progression and treatment outcomes. In light of that, we introduce a modified version of the NetRank algorithm, a network-based algorithm for
Externí odkaz:
https://doaj.org/article/60554c095f214540ae647794148df3bc
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
Quinolone resistance presents a growing global health threat. We employed word-based GWAS to explore genomic data, aiming to enhance our understanding of this phenomenon. Unlike traditional variant-based GWAS analyses, this approach simultaneously ca
Externí odkaz:
https://doaj.org/article/e8b19c1843984d5e9538fa3070fb48ec
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Antibiotic resistance is a global health threat and consequently, there is a need to understand the mechanisms driving its emergence. Here, we hypothesize that genes and mutations under positive selection may contribute to antibiotic resista
Externí odkaz:
https://doaj.org/article/1c194fc7f8844b83ba75d1e7116ac03d
Publikováno v:
Frontiers in Bioinformatics, Vol 2 (2022)
Gene expression can serve as a powerful predictor for disease progression and other phenotypes. Consequently, microarrays, which capture gene expression genome-wide, have been used widely over the past two decades to derive biomarker signatures for t
Externí odkaz:
https://doaj.org/article/4f3fccdf02f04b429d8945c0dff07fa0
Publikováno v:
International Journal of Molecular Sciences, Vol 22, Iss 11, p 6063 (2021)
Single mutations can confer resistance to antibiotics. Identifying such mutations can help to develop and improve drugs. Here, we systematically screen for candidate quinolone resistance-conferring mutations. We sequenced highly diverse wastewater E.
Externí odkaz:
https://doaj.org/article/1c8e1cce76af4e28bd52bcb0d8dc5a73