title: Protein sequence comparisons: searching databases and aligning sequences.
abstract: As the explosive growth of sequence databases continues, both the content of these databases and the best strategies for exploiting them are changing. Remarkable improvements in the performance of microcomputers have put very sophisticated tools within the reach of all investigators. New scoring schemes have improved the sensitivity of searching regimens and the accuracy of alignments.
authors.affiliation: Department of Chemistry, University of California, San Diego, La Jolla 92093-0634.
authors.forename: R F
authors.initials: RF
authors.lastname: Doolittle
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D016208:Databases, Factual; D010363:Pattern Recognition, Automated; D011506:Proteins / Q000235:genetics*; D011786:Quality Control; D016415:Sequence Alignment
chemical_list: D011506:Proteins