Automated detection of point mutations using fluorescent sequence trace subtraction.

AUTOR(ES)

Bonfield, J K

RESUMO

The final step in the detection of mutations is to determine the sequence of the suspected mutant and to compare it with that of the wild-type, and for this fluorescence-based sequencing instruments are widely used. We describe some simple algorithms forcomparing sequence traces which, as part of our sequence assembly and analysis package, are proving useful for the discovery of mutations and which may also help to identify misplaced readings in sequence assembly projects. The mutations can be detected automatically by a new program called TRACE_DIFF and new types of trace display in our program GAP4 greatly simplify visual checking of the assigned changes. To assess the accuracy of the automatic mutation detection algorithm we analysed 214 sequence readings from hypermutating DNA comprising a total of 108 497 bases. After the readings were assembled there were 1232 base differences, including 392 Ns and 166 alignment characters. Visual inspection of the traces established that of the 1232 differences, 353 were real mutations while the rest were due to base calling errors. The TRACE_DIFF algorithm automatically identified all but 36, with 28 false positives. Further information about the software can be obtained from http://www.mrc-lmb.cam.ac.uk/pubseq/

Documentos Relacionados

• RNA sequencing using fluorescent-labeled dideoxynucleotides and automated fluorescence detection.
• Automated DNA fingerprinting analysis of Mycobacterium tuberculosis using fluorescent detection of PCR products.
• Cloning the Arabidopsis GA1 Locus by Genomic Subtraction.
• 3'-5' proofreading-induced detection of point mutations by PCR using Tli DNA polymerase.
• Automated DNA sequencing: ultrasensitive detection of fluorescent bands during electrophoresis.