Biomedical subjects

C A Soderlund

Publications and source records attributed to C A Soderlund.

3 recordsLinked to original sources

PubMed1997

From long range mapping to sequence-ready contigs on human chromosome 6.

Our aim is to construct physical clone maps covering those regions of chromosome 6 that are not currently extensively mapped, and use these to determine the DNA sequence of the whole chromosome. The strategy we are following involves establishing a high density framework map of the order of 15 markers per Megabase using radiation hybrid (RH) mapping. The markers are then used to identify large-insert genomic bacterial clones covering the chromosome, which are assembled into sequence-ready contigs by restriction enzyme fingerprinting and sequence tagged site (STS) content analysis. Contig gap closure is performed by walking experiments using STSs developed from the end sequences of the clone inserts.

Chromosomes, Human, Pair 6↗

PubMed1995

A high-density YAC contig map of human chromosome 22.

We have constructed a high-resolution clone map of human chromosome 22 which integrates the available physical and genetic information, establishing a single consensus. The map consists of all classes of DNA landmarks ordered on 705 yeast artificial chromosomes (YACs) at an average landmark density of more than one per 70 kilobases. This map represents the practical limits of currently available YAC resources and provides the basis for determination of the entire gene content and genomic DNA sequence of human chromosome 22.

Chromosome Mapping↗

PubMed1990

gm: a practical tool for automating DNA sequence analysis.

The gm (gene modeler) program automates the identification of candidate genes in anonymous, genomic DNA sequence data. gm accepts sequence data, organism-specific consensus matrices and codon asymmetry tables, and a set of parameters as input; it returns a set of models describing the structures of candidate genes in the sequence and a corresponding set of predicted amino acid sequences as output, gm is implemented in C, and has been tested on Sun, VAX, Sequent, MIPS and Cray computers. It is capable of analyzing sequences of several kilobases containing multi-exon genes in less than 1 min execution time on a Sun 4/60.

Algorithms↗