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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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Author (1)
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 transmembrane domains with tmhmm and pureseqTM

Protein transmembrane domains are the parts of a protein that pass through the lipid bilayer of a cell membrane. These domains are typically composed of hydrophobic amino acids that allow the protein to interact with the nonpolar interior of the membrane. Transmembrane domains play an important role in many cellular processes, including cell signaling, transporting molecules, and cell adhesion. One important application of bioinformatics is identifying protein transmembrane domains from amino acid sequences. Several methods are used to identify transmembrane domains bioinformatically, including hydrophobicity analysis, in which we identify regions of a protein sequence that have a high degree of hydrophobicity and are likely to be transmembrane domains. There are also hidden Markov models that are trained to identify transmembrane domains based on a set of known transmembrane proteins. We can also use machine learning algorithms...

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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