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You're reading from  R Bioinformatics Cookbook - Second Edition

Product typeBook
Published inOct 2023
PublisherPackt
ISBN-139781837634279
Edition2nd Edition
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Dan MacLean
Dan MacLean
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Dan MacLean

Professor Dan MacLean has a PhD in molecular biology from the University of Cambridge and gained postdoctoral experience in genomics and bioinformatics at Stanford University in California. Dan is now an honorary professor at the School of Computing Sciences at the University of East Anglia. He has worked in bioinformatics and plant pathogenomics, specializing in R and Bioconductor, and has developed analytical workflows in bioinformatics, genomics, genetics, image analysis, and proteomics at the Sainsbury Laboratory since 2006. Dan has developed and published software packages in R, Ruby, and Python, with over 100,000 downloads combined.
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Finding orthologue candidates using reciprocal BLASTs

In genomics, orthology refers to the relationship between genes from different species that evolved from a common ancestral gene through speciation. Orthologous genes typically have the same function and structure and play similar roles in different organisms, even if they have diverged over time.

Orthology has many important uses in bioinformatics. Orthology can be used to infer the function of a gene in a newly sequenced genome based on its similarity to known genes in other species. This can be especially useful for identifying genes that are involved in specific biological processes or pathways. Orthologous genes can be used to compare the genomes of different organisms and study the evolution of gene families. By identifying which genes are conserved across different species, researchers can gain insights into the evolutionary history of those genes and the organisms that carry them.

Orthology can be inferred using various...

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R Bioinformatics Cookbook - Second Edition
Published in: Oct 2023Publisher: PacktISBN-13: 9781837634279

Author (1)

author image
Dan MacLean

Professor Dan MacLean has a PhD in molecular biology from the University of Cambridge and gained postdoctoral experience in genomics and bioinformatics at Stanford University in California. Dan is now an honorary professor at the School of Computing Sciences at the University of East Anglia. He has worked in bioinformatics and plant pathogenomics, specializing in R and Bioconductor, and has developed analytical workflows in bioinformatics, genomics, genetics, image analysis, and proteomics at the Sainsbury Laboratory since 2006. Dan has developed and published software packages in R, Ruby, and Python, with over 100,000 downloads combined.
Read more about Dan MacLean