Skip Navigation

This Article
Right arrow Print PDF (535K)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Clayton, J.
Right arrow Articles by Kedes, L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Clayton, J.
Right arrow Articles by Kedes, L.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Nucleic Acids Research, 1982, Vol. 10, No. 1 305-321
© 1982


Articles

GEL, a DNA sequencing project management system

Jan Clayton1 and Larry Kedes2,

1IntelliGenetics, Inc. 124 University Avenue, palo Alto, CA 94301 2Departments of Medicine, Stanford University and Veterans Administration medical Center Palo Alto, CA 94304, USA

Address all correspondence to: Dr.L.H.Kedes, 151M, VA Hospital, Miranda Avenue, Palo Alto, CA 94304, USA

Received September 15, 1981. We have developed an automated system for management of DNA sequencing projects. The system, named GEL, can handle data from both random sequences and from fragments whose relative positions are known. The system is highly interactive, self-documenting, and forgiving; it is designed for use by computer-naive molecular biologists. An editor designed specifically for sequences allows simple entry of data. Special functions allow direct checking and immediate editing of paired readings of the same gel. Merging of new random fragment sequences into the project as a whole is semi-automated. The user is shown probable overlaps if they exist, and can edit either the sequences or the consensus. Heuristic approaches to limiting the kinds of searches made in the merging process reduces the problem of combinatonc data overload as sequencing projects grow large. Complete histories of all entries, editing changes, and generation of consensus sequences are automatically prepared.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.