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Bioinformatics methods for ortholog identification are commonly based on pairwise protein sequence comparisons between whole genomes.
We validated the full procedure using test sets of orthologs and paralogs to demonstrate that our method outperforms pairwise methods for ortholog predictions.
Since each of these tools use different methods for ortholog prediction, orthologs predicted by more than one method are more likely to be accurately predicted.
The database structure and interface facilitates the easy comparison of multiple genome annotations arising from annotation or sequence-based searches, and couples this with improved methods for ortholog identification and contextual visualization.
They seem to outperform bootstrapping methodology as Bayesian methods also tend to deal with errors in data: a major drawback of all gene tree related methods for ortholog prediction (see for instance [ 51]).
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We are current investigating the application of our method for ortholog assignment in plant genomes.
Initial analyses using the reciprocal best BLAST hits (RBH) method for ortholog identification revealed that not all transcription factors are conserved across the apicomplexan phylum.
In addition to fingerprint alignments, we used reciprocal best Blast, a standard method for ortholog identification used in most published studies (Huntley et al. 2006; Thomas and Schneider 2011; Corsinotti et al. 2013).
Comparative and functional genomics urgently need a method for ortholog detection to reduce gene function inference and to aid in the identification of conserved or divergent genetic pathways between several species.
Since there is no a 'gold standard' method for orthologs identification [ 14], we integrated different published orthology identification methods that could possibly increase the breadth of orthologs identified.
upper triangular matrix: percentage of identical groups lower triangular matrix: percentage of specific groups Although the overlap between these different methods for detecting orthologs appears narrow, we tried to build a consensus of the groups of orthologs using both union and intersection methods.
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