the data file size for each sequence. This work, co-authored with Richard Eck, was the first application of computers to infer phylogenies from molecular sequences. It was the first reconstruction of a phylogeny (evolutionary tree) by computers from molecular sequences using a maximum parsimony method. In later years, she applied these methods to study a number of molecular relationships, such as the catalytic chain and bovine cyclic AMP-dependent protein kinase and the src gene product of Rous avian and Moloney murine sarcoma viruses; antithrombin-III, alpha-antitrypsin, and ovalbumin; epidermal growth factor and the light chain of coagulation factor X; and apolipoproteins A-I, A-II, C-I and C-III. Based on this work, Dayhoff and her coworkers developed a set of substitution matrices called the PAM (Percent Accepted Mutation), MDM (Mutation Data Matrix), or Dayhoff Matrix. They are derived from global alignments of closely related protein sequences. The identification number included with the matrix (ex. PAM40, PAM100) refers to the evolutionary distance; greater numbers correspond to greater distances. Matrices using greater evolutionary distances are extrapolated from those used for lesser ones. To produce a Dayhoff matrix, pairs of aligned amino acids in verified alignments are used to build a count matrix, which is then used to estimate at mutation matrix at 1 PAM (considered an evolutionary unit). From this mutation matrix, a Dayhoff scoring matrix may be constructed. Along with a model of indel events, alignments generated by these methods can be used in an iterative process to construct new count matrices until convergence. One of Dayhoff's most important contributions to bioinformatics was her Atlas of Protein Sequence and Structure, a book reporting all known protein sequences (totaling 65) that she published in 1965. This book published a degenerate encoding of amino acids. It was subsequently republished in several editions. This led to the Protein Information Resource database of protein sequences, the first online database system that could be accessed by telephone line and available for interrogation by remote computers. The book has since been cited nearly 4,500 times. It and the parallel effort by Walter Goad which led to the GenBank database of nucleic acid sequences are the twin origins of the modern databases of molecular sequences. The Atlas was organized by gene families, and she is regarded as a pioneer in their recognition. Frederick Sanger's determination of the first complete amino acid sequence of a protein (insulin) in 1955, led a number