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Shin Lin

Publications and source records attributed to Shin Lin.

3 recordsLinked to original sources

Haplotype inference in random population samples.

Contemporary genotyping and sequencing methods do not provide information on linkage phase in diploid organisms. The application of statistical methods to infer and reconstruct linkage phase in samples of diploid sequences is a potentially time- and labor-saving method. The Stephens-Smith-Donnelly (SSD) algorithm is one such method, which incorporates concepts from population genetics theory in a Markov chain-Monte Carlo technique. We applied a modified SSD method, as well as the expectation-maximization and partition-ligation algorithms, to sequence data from eight loci spanning >1 Mb on the human X chromosome. We demonstrate that the accuracy of the modified SSD method is better than that of the other algorithms and is superior in terms of the number of sites that may be processed. Also, we find phase reconstructions by the modified SSD method to be highly accurate over regions with high linkage disequilibrium (LD). If only polymorphisms with a minor allele frequency >0.2 are analyzed and scored according to the fraction of neighbor relations correctly called, reconstructions are 95.2% accurate over entire 100-kb stretches and are 98.6% accurate within blocks of high LD.

Algorithms↗

Quantitative multiprobe PCR assay for simultaneous detection and identification to species level of bacterial pathogens.

We describe a novel adaptation of the TaqMan PCR assay which potentially allows for highly sensitive detection of any eubacterial species with simultaneous species identification. Our system relies on a unique multiprobe design in which a single set of highly conserved sequences encoded by the 16S rRNA gene serves as the primer pair and is used in combination with both an internal highly conserved sequence, the universal probe, and an internal variable region, the species-specific probe. A pre-PCR ultrafiltration step effectively decontaminates or removes background DNA. The TaqMan system described reliabAly detected 14 common bacterial species with a detection limit of 50 fg. Further, highly sensitive and specific pathogen detection was demonstrated with a prototype species-specific probe designed to detect Staphylococcus aureus. This assay has broad potential in the clinical arena for rapid and specific diagnosis of infectious diseases.

Bacteria↗

Bioenergy definitions and research guidelines.

A model for the functional and observable interrelation among the various components in a physical bioenergy system is presented. The analogy is made between electric circuits and electromagnetic interactions, and contact and noncontact bioenergy transfer. It is postulated that there exists some form of bioenergy that has the capacity to do work and that this energy behaves in a manner similar to electricity in that the physical concepts of electromotive force, current, and impedance have their equivalents in bioenergy. It is further postulated that these analogous components are related by an equivalent to Ohm's and other physical laws of electricity. This is extended to a conjecture that bioenergy healing is the transfer of information from a practitioner to a healee. Research guidelines for bioenergy measurements are presented, including basic measurement practices for electrical and electromagnetic systems through direct measurements and the use of indirect measurement experiments for detecting these or other forms of bioenergy transfer. The research guidelines are divided into 2 sections: those involving direct measurement of the physical electrical properties of a practitioner, in particular the difficulties associated with electrical measurements of extremely low-level signals outside of a Faraday shield or electromagnetic measurements outside of a radio frequency anechoic chamber; and those for conducting experiments in which the effects of bioenergy are being investigated on the healee or other target system without direct measurements of the means for bioenergy transfer.

Energy Metabolism↗