Abstract: The present invention also relates to natural language processing and extraction of relational information associated with genes and proteins that are found in genomics journal articles. To enable access to information in textual form, the natural language processing system of the present invention provides systems and methods for extracting and structuring information found in the literature in a form appropriate for subsequent applications.

Abstract: The present invention also relates to natural language processing and extraction of relational information associated with genes and proteins that are found in genomics journal articles. To enable access to information in textual form, the natural language processing system of the present invention provides systems and methods for extracting and structuring information found in the literature in a form appropriate for subsequent applications.

Abstract: The present disclosed subject matter relates to methods of using molecular networks in whole genome genetic linkage analysis of complex inherited disorders, including determining gene-specific linkage probability values for one or more genes represented in a predetermined molecular interaction network. The present disclosed subject matter further relates to methods of identifying one or more gene that is associated with one or more heritable diseases, and methods of diagnosing the heritable diseases.

Abstract: The invention provides, inter alia, isolated nucleic acid molecules that comprise nucleic acids encoding multiple drug resistance proteins from Drosophila melanogaster or Anopheles gambiae, herein referred to as dMRP or gMRP, respectively, vectors encoding dMRP or gMRP, and host cells transformed with vectors containing these nucleic acids.

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. The present invention also relates to natural language processing and extraction of relational information associated with genes and proteins that are found in genomics journal articles. To enable access to information in textual form, the natural language processing system of the present invention provides a method for extracting and structuring information found in the literature in a form appropriate for subsequent applications.

Abstract: The present invention relates to methods for identifying novel genes comprising: (i) generating one and/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. The present invention also relates to natural language processing and extraction of relational information associated with genes and proteins that are found in genomics journal articles. To enable access to information in textual form, the natural language processing system of the present invention provides a method for extracting and structuring information found in the literature in a form appropriate for subsequent applications.

Abstract: The present invention generally provides methods for extracting gene and/or protein synonyms from text by processing a plurality of documents making up a text corpus, tagging a plurality of terms, each term identifying at least one of a gene and a protein from the text corpus, and determining whether at least two of the tagged terms are synonyms identifying a common gene or protein using one or more of expert knowledge or machine learning techniques, including unsupervised, partially supervised, and supervised machine learning techniques.

Abstract: The invention provides, inter alia, isolated nucleic acid molecules that comprise nucleic acids encoding multiple drug resistance proteins from Drosophila melanogaster or Anopheles gambiae, herein referred to as dMRP or gMRP, respectively, vectors encoding dMRP or gMRP, and host cells transformed with vectors containing these nucleic acids.

Abstract: The invention provides, inter alia, isolated nucleic acid molecules that comprise nucleic acids encoding multiple drug resistance proteins from Drosophila melanogaster or Anopheles gambiae, herein referred to as dMRP or gMRP, respectively, vectors encoding dMRP or gMRP, and host cells transformed with vectors containing these nucleic acids

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: The present invention relates to a method for identifying unknown molecular interactions within biological networks based on representations of molecules as sets of conserved features. Such molecules include but are not limited to proteins and nucleic acid molecules which can be represented as collections of conserved features, such as domains and motifs in proteins. The method of the invention comprises computing the attraction probabilities between molecules followed by calculation of the probability of a biological network. The method of the invention can be applied across species, where interaction data from one, or several species, can be used to infer molecular interactions between molecules acting within or between organisms. The method of the present invention may be used to identify molecular interactions which can serve as drug screening targets.

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.