from Science Network WA by Teresa Belcher SOFTWARE developed by a WA PhD student is quickly and accurately locating genes and correcting gene sequences in disease-causing fungi. Alison Testa from Curtin University’s Centre for Crop and Disease Management (CCDM) created ...
Read More »CodingQuarry – hidden Markov model gene prediction in fungal genomes using RNA-seq transcripts
The impact of gene annotation quality on functional and comparative genomics makes gene prediction an important process, particularly in non-model species, including many fungi. Sets of homologous protein sequences are rarely complete with respect to the fungal species of interest ...
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