(Post-)genomics approaches in fungal research

María Victoria Aguilar-Pontes; Ronald P de Vries; M. Zhou; J. van den Brink

doi:10.1093/bfgp/elu028

(Post-)genomics approaches in fungal research

María Victoria Aguilar-Pontes, Ronald P de Vries, M. Zhou, J. van den Brink

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgave › Artikel › Wetenschappelijk › peer review

Samenvatting

To date, hundreds of fungal genomes have been sequenced and many more are in progress. This wealth of genomic information has provided new directions to study fungal biodiversity. However, to further dissect and understand the complicated biological mechanisms involved in fungal life styles, functional studies beyond genomes are required. Thanks to the developments of current -omics techniques, it is possible to produce large amounts of fungal functional data in a high-throughput fashion (e.g. transcriptome, proteome, etc.). The increasing ease of creating -omics data has also created a major challenge for downstream data handling and analysis. Numerous databases, tools and software have been created to meet this challenge. Facing such a richness of techniques and information, hereby we provide a brief roadmap on current wet-lab and bioinformatics approaches to study functional genomics in fungi.

Originele taal-2	Engels
Pagina's (van-tot)	424-39
Aantal pagina's	16
Tijdschrift	Briefings in Functional Genomics
Volume	13
Nummer van het tijdschrift	6
DOI's	https://doi.org/10.1093/bfgp/elu028
Status	Gepubliceerd - nov 2014

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10.1093/bfgp/elu028

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abstract = "To date, hundreds of fungal genomes have been sequenced and many more are in progress. This wealth of genomic information has provided new directions to study fungal biodiversity. However, to further dissect and understand the complicated biological mechanisms involved in fungal life styles, functional studies beyond genomes are required. Thanks to the developments of current -omics techniques, it is possible to produce large amounts of fungal functional data in a high-throughput fashion (e.g. transcriptome, proteome, etc.). The increasing ease of creating -omics data has also created a major challenge for downstream data handling and analysis. Numerous databases, tools and software have been created to meet this challenge. Facing such a richness of techniques and information, hereby we provide a brief roadmap on current wet-lab and bioinformatics approaches to study functional genomics in fungi.",

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