Fundamental Concepts of BioinformaticsFundamental Concepts of Bioinformatics is the first book co-authored by a biologist and computer scientist that is specifically designed to make bioinformatics accessible and provide readers for more advanced work. Readers learn what programs are available for analyzing data, how to understand the basic algorithms that underlie these programs, what bioinformatic research is like, and other basic concepts. Information flows easily from one topic to the next, with enough detail to support the major concepts without overwhelming readers. Problems at the end of each chapter use real data to help readers apply what they have learned so they know how to critically evaluate results from both a statistical and biological point of view. |
Contents
Molecular Biology and Biological Chemistry | 1 |
Data Searches and Pairwise Alignments | 33 |
Substitution Patterns | 57 |
Copyright | |
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Common terms and phrases
algorithms alignment score allow amino acid amino acid sequence analysis approach array atoms base pairs beta sheets bind bioinformatics biological bonds branch cDNA cell Chapter chemical clones codon common ancestor complex conformation contain data sets database described determine distance matrix DNA molecules DNA sequences energy eukaryotic eukaryotic genes evolutionary example exons function gap penalty gene expression genetic genome human hydrophobic inhibitor input interactions introns labeled length ligand loop match method molecular mRNA multiple sequence alignment mutations nodes nucleotide sequence nucleotides number of substitutions occur organisms pairwise parameters parsimony peptide Perl phylogenetic tree polypeptide position possible prediction prokaryotic promoter protein folding quences reaction reading frame regions relationship relative residues result ribosomes RNA polymerase secondary structure shown in Figure side chain simple single species splice junctions strand string subroutine substitution rates tion transcription unrooted trees UPGMA variable