Abstract: The present invention generally provides a rapid efficient method for analyzing polymorphic or biallelic markers, and arrays for carrying out these analyses. In general, the methods of the present invention employ arrays of oligonucleotide probes that are complementary to target nucleic acids which correspond to the marker sequences of an individual. The probes are typically arranged in detection blocks, each block being capable of discriminating the three genotypes for a given marker, e.g., the heterozygote or either of the two homozygotes. The method allows for rapid, automatable analysis of genetic linkage to even complex polygenic traits.

Abstract: A photo album includes a CPU that records audio and control buttons located adjacent to each of a plurality of photograph-accommodating pockets on leaves of the photo album. A microphone unit is used to record audio sound bites for each photograph stored in the album and a control button is pressed to activate a playback circuit, which includes a speaker on the album, to play back the audio recorded for the selected photograph.

Abstract: A D-arabinitol dehydrogenase enzyme is disclosed. The enzyme is capable of catalyzing the oxidation of D-arabinitol and substantially incapable of catalyzing the oxidation of D-mannitol and is substantially free of other enzymes capable of oxidizing D-mannitol. Also disclosed are methods for determining D-arabinitol. In one embodiment the method comprises the steps of providing in combination (1) a medium suspected of containing D-arabinitol and (2) a D-arabinitol dehydrogenase enzyme and examining the medium for the product of the oxidation of the D-arabinitol. The enzyme utilized is capable of catalyzing the oxidation of D-arabinitol and substantially incapable of catalyzing the oxidation of D-mannitol. Kits for conducting the present method are also disclosed.

Abstract: A D-arabinitol dehydrogenase enzyme is disclosed. The enzyme is capable of catalyzing the oxidation of D-arabinitol and substantially incapable of catalyzing the oxidation of D-mannitol and is substantially free of other enzymes capable of oxidizing D-mannitol. Also disclosed are methods for determining D-arabinitol. In one embodiment the method comprises the steps of providing in combination (1) a medium suspected of containing D-arabinitol and (2) a D-arabinitol dehydrogenase enzyme and examining the medium for the product of the oxidation of the D-arabinitol. The enzyme utilized is capable of catalyzing the oxidation of D-arabinitol and substantially incapable of catalyzing the oxidation of D-mannitol. Kits for conducting the present method are also disclosed.

Abstract: A D-arabinitol dehydrogenase enzyme is disclosed. The enzyme is capable of catalyzing the oxidation of D-arabinitol and substantially incapable of catalyzing the oxidation of D-mannitol and is substantially free of other enzymes capable of oxidizing D-mannitol. Also disclosed are methods for determining D-arabinitol. In one embodiment the method comprises the steps of providing in combination (1) a medium suspected of containing D-arabinitol and (2) a D-arabinitol dehydrogenase enzyme and examining the medium for the product of the oxidation of the D-arabinitol. The enzyme utilized is capable of catalyzing the oxidation of D-arabinitol and substantially incapable of catalyzing the oxidation of D-mannitol. Kits for conducting the present method are also disclosed.

Abstract: Oligonucleotide analogue arrays attached to solid substrates and methods related to the use thereof are provided. The oligonucleotide analogues hybridize to nucleic acids with either higher or lower specificity than corresponding unmodified oligonucleotides. Target nucleic acids which comprise nucleotide analogues are bound to oligonucleotide and oligonucleotide analogue arrays.

Abstract: This invention provides methods of performing nucleic acid hybridization assays on high-density substrate-bound oligonucleotide arrays involving including in the hybridization mixture an isostabilizing agent, a denaturing agent or a renaturation accelerant.

Abstract: The invention provides arrays of immobilized probes, and methods employing the arrays, for detecting mutations in the CFTR gene.

Abstract: A nucleotide sequence characteristic of Neisseria gonorrhoeae is disclosed. The sequence can be the basis for hybridization type, nucleic acid-based, rapid, in vitro diagnostic assays. The unique nature of the sequence makes it possible to clearly discriminate N. gonorrhoeae from other Neisseria species thus eliminating or substantially reducing the number of false positive readings. A 350 base pair N. gonorrhoeae DNA restriction fragment was cloned after subtractive hybridization to Neisseria meningitidis DNA. In further cloning experiments the sequences adjacent to the original 350 base pair fragment were determined. A portion of this sequence was shown to detect 105 of 106 N. gonorrhoeae strains and no other Neisseria species. In addition to use as detection probes, all or portions of the nucleotide sequence can be used as a ligand for the sandwich capture of N. gonorrhoeae sequences and as primers for in vitro amplification of N. gonorrhoeae sequences.

Abstract: A D-arabinitol dehydrogenase enzyme is prepared that is capable of catalyzing the oxidation of D-arabinitol and substantially incapable of catalyzing the oxidation of D-mannitol and is substantially free of other enzymes capable of oxidizing D-mannitol. The enzyme is preferably obtained from Candida tropicalis ATCC 750 or Candida shehatae. The enzyme may also be obtained by recombinant DNA technology. Monoclonal antibodies are produced against the enzyme and can be used to identify the enzyme. The enzyme is used for detecting the presence of Candida in a host such as detecting Candida infection in a patient by determining the presence of D-arabinitol in a sample. The oxidation of D-arabinitol by nicotinamide adenine dinucleotide (NAD.sup.+) is catalyzed by the enzyme and the amount of NADH produced in a given time is determined. Also prepared is a composition containing the enzyme and NAD.sup.+ and a kit containing a packaged combination of the enzyme and NAD.sup.+.

Abstract: A method for detecting a departure from normal operation of an electric motor comprises the steps of modelling a set of normal current measurements and a set of operational current measurements for the motor being monitored. The modelling is carried out by a neural network auto-associator which is trained to reproduce its inputs on its output. A potential failure is indicated whenever the set of normal current measurements and the set of operational current measurements differ by more than a predetermined criterion.

Abstract: A method for detecting a departure from normal operation of an electric motor comprises obtaining a set of normal current measurements for a motor being monitored; forming clusters of the normal current measurements; training a neural network auto-associator using the set of normal current measurements; making current measurements for the motor in operation; comparing the input and output of the auto-associator; and indicating abnormal operation whenever the current measurements deviate more than a predetermined amount from the normal current measurements. The method models a set of normal current measurements for the motor being monitored, and indicates a potential failure whenever measurements from the motor deviate significantly from a model. The model takes the form of an neural network auto-associator which is "trained"--using clusters of current measurements collected while the motor is known to be in a normal operating condition--to reproduce the inputs on the output.

Abstract: A method for detecting a departure from normal operation of an electric motor comprises obtaining a set of normal current measurements for a motor being monitored; forming clusters of the normal current measurements; training a neural network auto-associator using the set of normal current measurements; making current measurements for the motor in operation; comparing the input and output of the auto-associator; and indicating abnormal operation whenever the current measurements deviate more than a predetermined amount from the normal current measurements. The method models a set of normal current measurements for the motor being monitored, and indicates a potential failure whenever measurements from the motor deviate significantly from a model. The model takes the form of an neural network auto-associator which is "trained"--using clusters of current measurements collected while the motor is known to be in a normal operating condition--to reproduce the inputs on the output.