Abstract: The present invention relates generally to the regeneration of sorghum involving organogenesis. More specifically, the present invention relates to a method of regenerating sorghum, particularly Sorghum bicolor (L.) Moench, via organogenesis that yields a high frequency of regenerants. In addition to providing high frequency regeneration, the present invention can be applied directly to the production of sorghum variants through somoclonal variation and to the genetic transformation of sorghum.

Abstract: The present invention relates to the field of somatic embryo production, particularly to methods for somatic embyrogenesis of Jatropha from ovules. More specifically, the present invention relates to a method and media compositions for somatic embryogenesis of Jatropha curcas from ovules of unopened flower buds. The method is well suited for Jatropha curcas transformation, for producing clonal planting stock useful for large scale Jatropha curcas plantation and for producing haploids, double haploids, diploids and disease-free plantlets.

Abstract: The present invention is directed to a novel gene, Oslrk1, that is in involved in plant development, including root expansion. Methods of influencing this development are also described, as are transformed cells and transgenic plants comprising the described sequences.

Abstract: A computational method for identifying adhesin and adhesin-like proteins, said method comprising steps of computing the sequence-based attributes of a neural network software wherein the attributes are (i) amino acid frequencies, (ii) multiplet frequency, (iii) dipeptide frequencies, (iv),charge composition, and (v) hydrophobic composition, training the artificial neural Network (ANN) for each of the computed five attributes, and identifying the adhesin and adhesin-like proteins having probability of being an adhesin (Pad) as ?0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins.

Abstract: The present invention relates to a novel method for the identification of candidate proteins in pathogens useful as anti-infectives and more particularly, the present invention describes a novel computational method involving calculation of several sequence attributes and their subsequent analysis lead to the identification of some outlier proteins in different pathogens which are either vaccine candidates, diagnostics or drug targets and also are provided the genes encoding the candidate proteins.

Abstract: This invention provides a device and methods for the rapid detection and/or diagnosis and/or characterization of one or more allergies (e.g., causes IgE mediated allergic reaction (immediate hypersensitvity) in a mammal (e.g., a human or a non-human mammal). In certain embodiments, the device comprises a microcantilever array where different cantilevers comprising the array bear different antigens. Binding of IgE to the antigen on a cantilever causes bending of the cantilever which can be readily detected.

Abstract: A computational method for identifying adhesin and adhesin-like proteins, said method comprising steps of computing the sequence-based attributes of a neural network software wherein the attributes are (i) amino acid frequencies, (ii) multiplet frequency, (iii) dipeptide frequencies, (iv),charge composition, and (v) hydrophobic composition, training the artificial neural Network (ANN) for each of the computed five attributes, and identifying the adhesin and adhesin-like proteins having probability of being an adhesin (Pad) as ?0.51; a computer system for performing the method; and genes and proteins encoding adhesin and adhesin-like proteins.

Abstract: A raster image processing system which supports multiple rendering/screening approaches, and selects an optimal approach suited for the specific images to be generated. In an embodiment, images may be rendered using either back-end screening approach or pipelined screening approach. Several variables may be measured to determine which one of the two consumes minimal time for a specific image to be rendered, and the approach consuming minimal time is selected. Typically, back-end screening is selected when multiple overlapping objects are present, and pipelined screening is selected otherwise.

Abstract: The present invention relates to a novel method for the identification of candidate proteins in pathogens useful as anti-infectives and more particularly, the present invention describes a novel computational method involving calculation of several sequence attributes and their subsequent analysis lead to the identification of some outlier proteins in different pathogens which are either vaccine candidates, diagnostics or drug targets and also are provided the genes encoding the candidate proteins.

Abstract: A raster image processing system which supports multiple rendering/screening approaches, and selects an optimal approach suited for the specific images to be generated. In an embodiment, images may be rendered using either back-end screening approach or pipelined screening approach. Several variables may be measured to determine which one of the two consumes minimal time for a specific image to be rendered, and the approach consuming minimal time is selected. Typically, back-end screening is selected when multiple overlapping objects are present, and pipelined screening is selected otherwise.

Abstract: Plant growth habit is altered by causing either under-expression or over-expression of profilin in a plant cell. Under-expression of profilin can be achieved by transforming a plant or plant cell with a gene expressing an antisense mRNA complementary to the mRNA transcribed by the coding sequence of a profilin gene and expressing the gene in the plant or plant cell such that the antisense mRNA inhibits the production of the profilin in the plant or plant cell. Under-expression of profilins in plants can lead to such alterations in growth habit as a dwarf phenotype, a reduced root and root hair system, and delay in the onset of flowering. Over-expression of profilin can be achieved by transforming a plant or plant cell with a gene capable of expressing a profilin in the plant or plant cell and causing the transformed gene to be expressed in the plant or plant cell.

Abstract: A method of efficiently transferring data during image transformations performed by a multiprocessor (10). A bounding box (35) is defined for source data to be transferred to the multiprocessor (10) for processing. The dimensions of the bounding box (35) are derived from the dimensions of an associated block (30) in destination space and from the transform coefficients. The bounding box dimensions may be calculated so as to provide the most efficient transfers.

Abstract: A processing unit (11) for a printer system. The processing unit (11) is comprised of a master processor (21) and multiple parallel processors (22). The master processor (21) builds a display list and partitions it into sublists, which it distributes to the parallel processors (22). The parallel processors (22) interpret the sublists, thereby rendering the image as bitmapped data. Interpretation of a sublist is performed by reading its operation codes and calling rasterizing primitives represented by the operation codes. (FIG. 3). During execution of a rasterizing primitive, a parallel processor (22) determines whether the next operation code in the sublist will call the same primitive. If so, execution of the current primitive is repeated.