Abstract:
Methods and systems for providing biological results in the form of systematically varied libraries of sequences or as data representing sequences or physical preparations of systematically varied libraries and/or selections from systematically varied libraries.
Abstract:
In silico nucleic acid recombination methods, related integrated systems utilizing genetic operators and libraries made by in silico shuffling methods are provided.
Abstract:
Determining relative relationship includes receiving recombinable deoxyribonucleic acid (DNA) information of a first user and recombinable DNA information of a second user, determining, based at least in part on the recombinable DNA information of the first user and recombinable DNA information of the second user, a predicted degree of relationship between the first user and the second user, and in the event that the expected degree of relationship between the first user and the second user at least meets the threshold, notifying at least the first user about a relative relationship with the second user.
Abstract:
A method of generating a cell lineage tree of a plurality of cells of an individual is provided. The method comprising: (a) determining at least one genotypic marker for each cell of the plurality of cells; and (b) computationally clustering data representing the at least one genotypic marker to thereby generate the cell lineage tree of the plurality of cells of the individual.
Abstract:
In silico nucleic acid recombination methods, related integrated systems utilizing genetic operators and libraries made by in silico shuffling methods are provided.
Abstract:
The present invention permits identification of biological materials following recovery of DNA using standard techniques by comparing a mathematical characterization of the unknown sequence with the mathematical characterization of DNA sequences of known genera and species. The clinical identification of infectious organisms is required for accurate diagnosis and selection of antimicrobial therapeutics. The invention allows an ab initio approach with the potential for rapid identification of biological materials of unknown origin. The approach provides for identification and classification of emergent or new organisms without previous phenotypic identification. The technique may also be used in monitoring situations where the need exists for classification of material into broad categories of bacteria which could have an immediate impact on bio-terrorism prevention.
Abstract:
The present invention relates to methods for identifying novel genes comprising: (i) generating one or more specialized databases containing information on gene/protein structure, function and/or regulatory interactions; and (ii) searching the specialized databases for homology or for a particular motif and thereby identifying a putative novel gene of interest. The invention may further comprise performing simulation and hypothesis testing to identify or confirm that the putative gene is a novel gene of interest.
Abstract:
There are provided methods, systems and processes for the utilization of microbial and related genetic information for use in the exploration, determination, production and recovery of natural resources, including energy sources, and the monitoring, control and analysis of processes and activities.
Abstract:
In one embodiment, the disclosure provides methods and systems for identifying viral nucleic acids in a sample. In another embodiment the invention provides methods for viral genome assembly and viral discovery using small inhibitory RNAs, or “small silencing,” RNAs (siRNAS), micro-RNAs (miRNAs) and/or PIWI-interacting RNAs (piRNAs), including siRNAS, miRNAs and/or piRNAs isolated or sequenced from invertebrate organisms such as insects (Anthropoda), nematodes (Nemapoda), Mollusca, Porifera, and other invertebrates, and/or plants, fungi or algae, Cyanobacteria and the like.