UNLABELLED: The paper reports on programs, organization and Hypertext Mark-up Language (HTML) presentation provided by the Hierarchical Automated Gene Identification System (HAGIS) designed for managing sequencing projects. AVAILABILITY: On request from the authors. CONTACT: [email protected]

Ross D. King, Mansoor Saqi, Roger Sayle, Michael J.E. Sternberg; DSC: public domain protein secondary structure prediction, Bioinformatics, Volume 13, Issue 4,

Many sequence analysis problems involve consideration of a multiple sequence alignment where the 3-dimensional structure of one (or more) of the aligned sequences is known. In such cases, it is useful to map the sequence variability onto the atomic co-ordinates of known structure. If the structure also includes a bound ligand (or the location of the active site is known), each column position in the multiple sequence alignment may be annotated with its 'distance' from the binding site. These annotations, together with a measure of sequence variability, provide additional insights into drug specificity, for example among viral mutants. This paper describes several useful programs that automate this analysis.

A program PdbMotif, which automatically identifies protein motifs in a protein data bank file and generates a script file which can be read directly by the molecular rendering program RasMol, is described. PdbMotif accepts the standard PROSITE pattern syntax and will scan the PROSITE pattern database or a set of user defined patterns. Any motifs detected are automatically highlighted in the RasMol image.