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FPC: a system for building contigs from restriction fingerprinted clones
Author(s): Soderlund C, Longden I, Mott R
Source: COMPUTER APPLICATIONS IN THE BIOSCIENCES    Volume: 13    Issue: 5    Pages: 523-535    Published: OCT 1997  
Times Cited: 154     References: 23     
Abstract: Motivation: To meet the demands of large-scale sequencing, thousands of clones must be fingerprinted and assembled into contigs. To determine the order of clones, a typical experiment is to digest the clones with one or more restriction enzymes and measure the resulting fragments. The probability of two clones overlapping is based on the similarity of their fragments. A contig contains two or more overlapping clones and a minimal tiling path of clones is selected to be sequenced. Interactive software with algorithmic support is necessary to assemble the clones contigs quickly.

Results: FPC (fingerprinted contigs) is an interactive program for building contigs from restriction fingerprinted clones. FPC uses an algorithm to cluster clones into contigs based on their probability of coincidence score. For each contig, it builds a consensus band (CB) map which is similar to a restriction map, but it does not try to resolve all the errors. The CB map is used to assign coordinates to the clones based on their alignment to the map and to provide a detailed visualization of the clone overlap. FPC has editing facilities for the user to refine the coordinates and to remove poorly fingerprinted clones. Functions are available for updating on FPC database with new clones. Contigs can easily and are displayed with the appropriate contig. Sequence-ready clones can be selected and their sequencing status displayed. As such, FPC is an integrated program for the assembly of sequence-ready clones for large-scale sequencing projects.

Document Type: Article
Language: English
Reprint Address: Soderlund, C (reprint author), SANGER CTR, WELLCOME TRUST GENOME CAMPUS, CAMBRIDGE CB10 1SA, ENGLAND
Publisher: OXFORD UNIV PRESS, GREAT CLARENDON ST, OXFORD, ENGLAND OX2 6DP
Subject Category: Computer Science, Interdisciplinary Applications
IDS Number: YC566
ISSN: 0266-7061
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