Biomedical subjects

K C Kupfer

Publications and source records attributed to K C Kupfer.

3 recordsLinked to original sources

PubMed1998

Computerized polymorphic marker identification: experimental validation and a predicted human polymorphism catalog.

A computational system for the prediction of polymorphic loci directly and efficiently from human genomic sequence was developed and verified. A suite of programs, collectively called POMPOUS (polymorphic marker prediction of ubiquitous simple sequences) detects tandem repeats ranging from dinucleotides up to 250 mers, scores them according to predicted level of polymorphism, and designs appropriate flanking primers for PCR amplification. This approach was validated on an approximately 750-kilobase region of human chromosome 3p21.3, involved in lung and breast carcinoma homozygous deletions. Target DNA from 36 paired B lymphoblastoid and lung cancer lines was amplified and allelotyped for 33 loci predicted by POMPOUS to be variable in repeat size. We found that among those 36 predominately Caucasian individuals 22 of the 33 (67%) predicted loci were polymorphic with an average heterozygosity of 0.42. Allele loss in this region was found in 27/36 (75%) of the tumor lines using these markers. POMPOUS provides the genetic researcher with an additional tool for the rapid and efficient identification of polymorphic markers, and through a World Wide Web site, investigators can use POMPOUS to identify polymorphic markers for their research. A catalog of 13,261 potential polymorphic markers and associated primer sets has been created from the analysis of 141,779,504 base pairs of human genomic sequence in GenBank. This data is available on our Web site (pompous.swmed.edu) and will be updated periodically as GenBank is expanded and algorithm accuracy is improved.

Computer Communication Networks↗

PubMed1997

A method for genome comparisons and hybridization studies using known megabase-scale DNA sequences as a reference.

We present a method for genome comparisons and high-resolution hybridization analyses using megabase stretches of known DNA sequences as a reference. The method employs two-dimensional gel electrophoresis, separating genomic segments cut with different restriction endonucleases in the first and second dimensions, to generate filters suitable for image analysis and repeated nucleic acid hybridizations. The corresponding two-dimensional pattern is computed from the reference nucleotide sequence and matched to the observed pattern, thereby identifying each fragment on the filter; at the same time the technique uncovers discrepancies from the reference sequence. This permits genome comparisons as well as automated identification and quantification of hybridization patterns with various probes. The technique is illustrated by an analysis of Saccharomyces cerevisiae chromosome IX.

Chromosome Walking↗

PubMed1997

PRIMO: A primer design program that applies base quality statistics for automated large-scale DNA sequencing.

PRIMO is a computer program that designs walking primers for large-scale DNA sequencing projects. Oligonucleotide primers are predicted automatically, using quality information associated with each base call, eliminating the need for manually viewing the sequence traces or inspecting contig assemblies to determine appropriate locations for primer design. This allows PRIMO to run in batch mode on an arbitrarily large number of templates. For shotgun sequencing, PRIMO reads assembled sequence contigs with corresponding base quality statistics and automatically designs walking primers as needed to extend and join contigs, or improve their overall quality. In the opposite extreme of single-pass or completely directed sequencing, PRIMO reads the unassembled sequence for each template and designs walking primers for extending each read. If the base-calling software does not provide base quality statistics, PRIMO assigns its own measure of base quality determined by the shapes of individual peaks in the trace data for each template. In this way, PRIMO can be used in the finishing stages of a shotgun sequencing project, in sequencing by directed primer walking, or in some intermediate strategy. The code is written in ANSI C and maintained in two versions: one for the Macintosh and the other for UNIX.

Animals↗