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Furthermore, all current methods require bioinformatic skills.
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Most of these methods require significant bioinformatic pipeline infrastructure developed by the individual users to apply a method to their whole genome sequencing data, as they have been tested using simulations on the order of candidate gene studies.
However, utilization of these methods requires extensive bioinformatics skills and therefore they are not readily accessible for a broad researchers community.
All of these methods require internet connection.
Evaluation of the role gene duplication plays in the evolution of toxin diversity in basal Metazoa requires bioinformatics methods to identify putative gene paralogs.
To do this, other available methods would require some bioinformatic filtering in addition to the collapsing method.
Greater rates of data generation by high-throughput methods will require additional bioinformatics tools to process data and obtain meaningful (functional) results.
To identify more distantly related CM-proteins of the latter type by bioinformatics methods, will require methods capable of detecting distantly-related proteins on the basis of sequence information alone [58].
Their method requires no travel at all.
This method requires a facilitator.
Either method requires practice.
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