Computational Convolution of SELDI Data for the Diagnosis of Alzheimer's Disease.

Alzheimer's disease is rapidly becoming an endemic for people over the age of 65. A vital path towards reversing this ominous trend is the building of reliable diagnostic devices for definite and early diagnoses in lieu of the longitudinal, usually inconclusive and non-generalize-able methods currently in use. In this article, we present a survey of methods for mining pools of mass spectrometer saliva data in relation to diagnosing Alzheimer's disease. The computational methods provides new approaches for appropriately gleaning latent information from mass spectra data. They improve traditional machine learning algorithms and are most fit for handling matrix data points including solving problems beyond protein identifications and biomarker discovery.

A rare case of coin impaction in larynx in an adult.

Impaction of foreign body in larynx is reported exclusively in paediatric population only. Moreover impaction of coin in larynx has never been reported previously. With this background, we report a rare case of coin impaction in larynx in a healthy adult.

Databases, models, and algorithms for functional genomics: a bioinformatics perspective.

A variety of patterns have been observed on the DNA and protein sequences that serve as control points for gene expression and cellular functions. Owing to the vital role of such patterns discovered on biological sequences, they are generally cataloged and maintained within internationally shared databases. Furthermore,the variability in a family of observed patterns is often represented using computational models in order to facilitate their search within an uncharacterized biological sequence. As the biological data is comprised of a mosaic of sequence-levels motifs, it is significant to unravel the synergies of macromolecular coordination utilized in cell-specific differential synthesis of proteins. This article provides an overview of the various pattern representation methodologies and the surveys the pattern databases available for use to the molecular biologists. Our aim is to describe the principles behind the computational modeling and analysis techniques utilized in bioinformatics research, with the objective of providing insight necessary to better understand and effectively utilize the available databases and analysis tools. We also provide a detailed review of DNA sequence level patterns responsible for structural conformations within the Scaffold or Matrix Attachment Regions (S/MARs).

Reusing microarrays within closely related species: experimental validation through phylogenetic inference.

Microarrays are generally designed for a specific set of organisms, and this poses a limitation for researchers wanting to conduct investigations on gene expression in organisms that are, in some sense, not "popular" enough. In this article, we demonstrate that microarrays may in fact be reusable for aggregate expression analysis for species that are evolutionarily related. Our validation approach is based on this assumption and draws a phylogenetic conclusion that is deemed to be true only if the assumption of reusability is valid. This article demonstrates that microarrays developed using the human transcriptome are reusable for aggregate expression analysis of primates in general.