Abstract: This disclosure relates generally to the field of taxonomic profiling of microbial organisms such as bacteria, and, more particularly, to system and method for simultaneous interpretation of taxonomic distribution and replication rates of microbes constituting microbial communities. The present disclosure extracts bacterial genomic DNA from a plurality of bacterial organisms comprised in collected microbiome sample. Maps the plurality of the DNA sequence fragment reads to a precomputed reference sequence database of a plurality of all available completely sequenced bacterial genomes. Based on the mapping, the read coverage is measured at the genomic locations of the phylogenetic marker genes, wherein measured read coverage is used for interpretation of taxonomic distribution of the plurality of bacterial organisms. A plurality of slopes is obtained by fitting a linear function.

Abstract: Analysis of the flow of fluxes through the metabolic network of a cell type is useful in gaining knowledge about cellular physiology. Such knowledge can be used in understanding host's interactions with pathogens, drug response etc. However there is dearth of techniques that can incorporate metabolomics data into genome scale metabolic model (GEM) for FBA. A method and system for analyzing metabolic state of a cell at a genome scale by measuring concentrations of a one or more metabolites has been disclosed. The method is utilizing intracellular and/or extracellular metabolite concentrations for constraining reaction fluxes in FBA by incorporating it as part of stoichiometric constraint to metabolic model. The method is used to predict the change in flux flow through all reactions in an organism/cell type under different experimental conditions. The method enables constraining the flow of fluxes through reactions while performing FBA of GEMs using measured metabolite concentrations.

Abstract: Schizophrenia is a chronic and severe psychiatric disorder that affects how a person thinks, feels, and behaves. If Schizophrenia is diagnosed early, most symptoms of Schizophrenia can be managed with appropriate medical interventions. A system and method for assessing the risk of Schizophrenia in a person has been provided. The system is configured to assess individuals to check the presence or absence of Schizophrenia, by quantifying the abundance of sensory proteins in their microbiome. The disclosure relates to a defined methodology that involves assessment and categorization of the person into healthy and schizophrenic based on the abundance of sensory proteins in the microbiome. The systems and methods further describe microbiota based therapeutics for management of Schizophrenia through generating a therapeutic model and administering a consortium of healthy microbes which could modulate the disease microbiome composition towards a healthy equilibrium.

Abstract: Prediabetes is an intermediary physiological condition (in between healthy and diabetic states) which may be reversed through timely intervention. A system and method for assessing the risk of prediabetes in a person has been provided. The system 100 is configured to assess individuals to check the absence or presence of prediabetic symptoms, by quantifying the abundance of sensory proteins in their microbiome. The invention relates to a defined methodology that involves assessment and categorization of the person into healthy and prediabetic based on the abundance of sensory proteins in the sample collected from the faeces of the person. The systems and methods further describe microbiota based therapeutics for treatment/management of prediabetes through generating a therapeutic model and administering a consortium of healthy microbes which could modulate the disease microbiome composition towards a healthy equilibrium.

Abstract: Colorectal cancer is a severe disease, if not assessed properly, it may lead to the death of an individual. A system and method for assessing the risk of colorectal cancer has been provided. The system is configured to assess individuals to check the risk of presence of colorectal cancer (CRC) and/or adenomatous (colonic/rectal) polyps, by quantifying the abundance of sensory proteins in their gut microbiome. The system further categorizes the person into one of healthy, adenoma and cancerous categories based on the nature and abundance of sensory proteins in the gut microbiome. The system further describes microbiota based therapeutics for treatment of the person with colorectal adenoma and/or cancer through administration of at least one of a consortium of healthy microbes, antibiotic drugs and pre-/pro-/syn-/post-biotic compounds or fecal microbiome transplant which could modulate the disease microbiome composition towards a healthy equilibrium.

Abstract: Systems and methods to enable representation of sequence as well as structural information of an RNA molecule in the form of a single encoded string are described. The encoding steps are based on identifying one or more contiguous stretches of ribonucleotide bases having similar structural attributes and base-pairing patterns. In the encoded string, each of the identified contiguous structure stretches is represented by a single character that indicates the corresponding structural attribute. Appending these structural characters to the corresponding contiguous ribonucleotide character stretches, and subsequently eliminating redundant ribonucleotide characters based on standard base-pairing rules results in generating the final encoded string. Such concomitant representation of sequence and structural information of a given RNA molecule in a single encoded string enables efficient storage and easy dissemination of RNA data.

Abstract: Analysis of the flow of fluxes through the metabolic network of a cell type is useful in gaining knowledge about cellular physiology. Such knowledge can be used in understanding host's interactions with pathogens, drug response etc. However there is dearth of techniques that can incorporate metabolomics data into genome scale metabolic model (GEM) for FBA. A method and system for analyzing metabolic state of a cell at a genome scale by measuring concentrations of a one or more metabolites has been disclosed. The method is utilizing intracellular and/or extracellular metabolite concentrations for constraining reaction fluxes in FBA by incorporating it as part of stoichiometric constraint to metabolic model. The method is used to predict the change in flux flow through all reactions in an organism/cell type under different experimental conditions. The method enables constraining the flow of fluxes through reactions while performing FBA of GEMs using measured metabolite concentrations.

Abstract: The present subject matter discloses a system and a method for data archival. A data archiving system comprises a processor and a compression module coupled to the processor and configured to compress an original data file to generate, for each level of lossy compression, a compressed base file and a patch file. The base file is generated using a lossy compression technique. The patch file for a particular level of lossy compression is generated using information lost at the particular level of lossy compression. The data archiving system further comprises a data archiving module coupled to the processor. The data archiving system is configured to save a last base file and a plurality of patch files corresponding to each level of lossy compression, where the last base file is the base file corresponding to a last level of lossy compression.

Abstract: A method and system is provided for representing compositional properties of a biological sequence fragment and application thereof.

Abstract: Systems and methods to enable representation of sequence as well as structural information of an RNA molecule in the form of a single encoded string are described. The encoding steps are based on identifying one or more contiguous stretches of ribonucleotide bases having similar structural attributes and base-pairing patterns. In the encoded string, each of the identified contiguous structure stretches is represented by a single character that indicates the corresponding structural attribute. Appending these structural characters to the corresponding contiguous ribonucleotide character stretches, and subsequently eliminating redundant ribonucleotide characters based on standard base-pairing rules results in generating the final encoded string. Such concomitant representation of sequence and structural information of a given RNA molecule in a single encoded string enables efficient storage and easy dissemination of RNA data.

Abstract: Systems and methods for compression of a genomic data file are described herein. In one embodiment, genomic sequences, sequence headers, and quality sequences associated with a plurality of data streams provided in a genomic data file are identified. Each of the genomic sequences includes at least one of primary characters and secondary characters. Further, the secondary characters from each of the genomic sequences may be removed to obtain an intermediate genomic sequence file and a quality score corresponding to the secondary character may be modified in quality sequences to obtain an intermediate quality sequence file. Based on the intermediate genomic sequence file and the intermediate quality sequence file, a modified genomic sequence file and a modified quality sequence file, respectively are generated. A compressed genomic data file is obtained using at least the modified genomic sequence and the modified quality sequence.

Abstract: The present subject matter discloses a system and a method for compression of genomic data. In one embodiment, the method for compression of genomic data includes obtaining modified genomic data from genomic data based at least in part on intermediary data identified from the genomic data. In one implementation, the modified genomic data includes a plurality of primary characters. The genomic data may then be modified to generate one or more most-frequent character files based at least on a most-frequent character and a second most-frequent character from among the plurality of primary characters. Further, based at least on the one or more most-frequent character files and the modified genomic data, a least-frequent characters file may be created from the modified genomic data.

Abstract: The present subject matter discloses a system and a method for data archival. A data archiving system comprises a processor and a compression module coupled to the processor and configured to compress an original data file to generate, for each level of lossy compression, a compressed base file and a patch file. The base file is generated using a lossy compression technique. The patch file for a particular level of lossy compression is generated using information lost at the particular level of lossy compression. The data archiving system further comprises a data archiving module coupled to the processor. The data archiving system is configured to save a last base file and a plurality of patch files corresponding to each level of lossy compression, where the last base file is the base file corresponding to a last level of lossy compression.

Abstract: Systems and methods for compression of a genomic data file are described herein. In one embodiment, genomic sequences, sequence headers, and quality sequences associated with a plurality of data streams provided in a genomic data file are identified. Each of the genomic sequences includes at least one of primary characters and secondary characters. Further, the secondary characters from each of the genomic sequences may be removed to obtain an intermediate genomic sequence file and a quality score corresponding to the secondary character may be modified in quality sequences to obtain an intermediate quality sequence file. Based on the intermediate genomic sequence file and the intermediate quality sequence file, a modified genomic sequence file and a modified quality sequence file, respectively are generated. A compressed genomic data file is obtained using at least the modified genomic sequence and the modified quality sequence.

Abstract: The present subject matter discloses a system and a method for compression of genomic data. In one embodiment, the method for compression of genomic data includes obtaining modified genomic data from genomic data based at least in part on intermediary data identified from the genomic data. In one implementation, the modified genomic data includes a plurality of primary characters. The genomic data may then be modified to generate one or more most-frequent character files based at least on a most-frequent character and a second most-frequent character from among the plurality of primary characters. Further, based at least on the one or more most-frequent character files and the modified genomic data, a least-frequent characters file may be created from the modified genomic data.