Mining a database of single amplified genomes from Red Sea brine pool extremophiles—improving reliability of gene function prediction using a profile and pattern matching algorithm (PPMA)

Reliable functional annotation of genomic data is the key-step in the discovery of novel enzymes. Intrinsic sequencing data quality problems of single amplified genomes (SAGs) and poor homology of novel extremophile's genomes pose significant challenges for the attribution of functions to the c...

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Detalles Bibliográficos
Autores principales: Grötzinger, Stefan W., Alam, Intikhab, Ba Alawi, Wail, Bajic, Vladimir B., Stingl, Ulrich, Eppinger, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3985023/
https://www.ncbi.nlm.nih.gov/pubmed/24778629
http://dx.doi.org/10.3389/fmicb.2014.00134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3985023/
https://www.ncbi.nlm.nih.gov/pubmed/24778629
http://dx.doi.org/10.3389/fmicb.2014.00134

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