Current Trends in Bioinformatics: An Insight 2018
DOI: 10.1007/978-981-10-7483-7_12
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Computational Tools: RNA Interference in Fungal Therapeutics

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Cited by 2 publications
(1 citation statement)
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“…In addition to hairpin RNAs ( Drinnenberg et al, 2009 ; Crook et al, 2014 ; Purcell et al, 2018 ), other forms of RNAi precursors, such as dsRNAs ( Si et al, 2014 ; Crook et al, 2016 ) and antisense RNAs ( Suk et al, 2011 ; Si et al, 2014 , 2017 ), can also be accepted by the S. castellii RNA machinery for gene repression in S. cerevisiae . Notably, although a growing collection of computational tools is available to design RNAi targeting sequences, these tools are primarily developed for canonical RNAi pathways as recently summarized ( Lagana et al, 2014 ; Jain and Wadhwa, 2018 ). Given the mechanistic differences of siRNA generation between canonical and budding-yeast RNAi machinery, it remains elusive if existing algorithms may help to identify RNAi targets for efficient gene silencing in S. cerevisiae .…”
Section: Tool Developmentmentioning
confidence: 99%
“…In addition to hairpin RNAs ( Drinnenberg et al, 2009 ; Crook et al, 2014 ; Purcell et al, 2018 ), other forms of RNAi precursors, such as dsRNAs ( Si et al, 2014 ; Crook et al, 2016 ) and antisense RNAs ( Suk et al, 2011 ; Si et al, 2014 , 2017 ), can also be accepted by the S. castellii RNA machinery for gene repression in S. cerevisiae . Notably, although a growing collection of computational tools is available to design RNAi targeting sequences, these tools are primarily developed for canonical RNAi pathways as recently summarized ( Lagana et al, 2014 ; Jain and Wadhwa, 2018 ). Given the mechanistic differences of siRNA generation between canonical and budding-yeast RNAi machinery, it remains elusive if existing algorithms may help to identify RNAi targets for efficient gene silencing in S. cerevisiae .…”
Section: Tool Developmentmentioning
confidence: 99%