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Vindhya Data Science
Vindhya Data Science is listed as a small business research supplier in the Scientist.com network, with 1 site in 1 country.
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1
Countries
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Services
What this research supplier says it provides, as listed in the Scientist.com network.
Type of company: Small business
Biomarkers
- Biomarker Analytical Validation Assess and optimize the characteristics of a candidate biomarker to ensure reproducibility and consistency.
- Biomarker Clinical Validation Evaluate the predictive ability of a candidate biomarker for a disorder.
- Diagnostic Biomarkers Discovery Identify candidate biomarkers indicative of the presence of a disorder.
- Digital Biomarkers Objective, quantifiable physiological and behavioral data that are collected and measured by means of digital devices such as portables, wearables, implantables, or digestibles.
- Digital Pathology Acquire, manage and interpret pathology information generated from a digital image of a slide preparation of cells or tissue.
- Pharmacodynamic Biomarkers Discovery Identify candidate biomarkers indicative of the therapeutic outcome of a drug-target interaction.
Show all 9 in Biomarkers
- Predictive Biomarkers Discovery Identify candidate biomarkers suggestive of a response to a treatment.
- Prognostic Biomarkers Discovery Identify candidate biomarkers representative of disease progression without treatment.
- Single Cell Transcriptome Sequencing Detect distinct, rare or abnomal cell types in a heterogenous population.
Data Science/Bioinformatics
- Clinical Biomarker Analysis An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
- Clinical Companion Diagnostics Analysis The process of finding patients who are likely to respond positively to a drug and designing a diagnostic tool to identify this group of patients before or with a therapy.
- Clinical Data Analysis Analysis that helps you make sense of your clinical data
- Clinical Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
- Clinical In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your omics data
- Clinical Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects
Show all 24 in Data Science/Bioinformatics
- Clinical Responder Analysis, Patient Stratification The process of identifying patients that are more likely to respond positively to a drug.
- Clinical Software Tools Software designed to serve the needs of clinical research groups.
- Discovery Biomarker Analytics An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
- Discovery Data Analysis Analysis that helps you make sense of your discovery data
- Discovery Data Integration The process of combining different complex data types together to make it easier to understand or analyze.
- Discovery Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users.
- Discovery Data Science and Modeling A process that helps make sense of your discovery data
- Discovery Databases Databases specifically designed for drug discovery use.
- Discovery In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your Genomics/Transcriptomics data
- Discovery Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
- Discovery Omics Analytics A process to analyze various omics data (genomics, transcriptomics, proteomics, metabolomics, etc.) This can include the integration of different omics data. Helps to better understand the molecular environment...
- Discovery Predictive Analytics Analytical approaches to predict how a drug target behaves in a given environment.
- Discovery Software Tools Software designed to serve the needs of discovery research groups.
- Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.
- Translational Bioinformatics Different analytical approaches that make, store, and analyze complex biological data.
- Translational Biomarker Discovery An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
- Translational Data Knowledge Extraction Analytical approaches to extract data from different sources like publications, databases, etc.
- Translational In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your omics data
Show all 67 services
General Marketing
- Database Management Software Facilitate the collection, tracking and processing of biological facts, statistics and observations.
Medical Communications
- Medical Publications Make clear and accurate presentations of scientific and technical data.
Scientific Data Services
- Bayesian Statistics Extract information from data sets that are subject to error or noise to see unobserved possibilities.
- Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
- Cancer Systems Biology Convert complex molecular data obtained from high-throughput technologies to deducible information.
- Cloud Computing Request on-demand computer resources specifically relating to large data storage and computing power.
- Data and Text Mining Derive structured data from free text in order to become accessible for data-mining algorithms.
- Data Curation Organize and integrate data collected from various sources to ease data discovery and retrieval.
Show all 32 in Scientific Data Services
- Data Infrastructure Design and deploy an information management solution suited to users' specific needs.
- Data Lineage & Quality Track the various processes through which data has been created, edited or exchanged.
- Data Quality Framework Manage data quality issues to maintain good quality data outputs.
- Discovery Computational Systems Biology Model the interaction of biological system with drug candidates.
- Epigenomics Data Analysis Quantify and analyze DNA methylation and/or DNA binding protein data sets.
- High-Performance Computing Compute using higher performing parallel processing.
- Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
- Marker Analyses Identify associations between genetic markers and traits of interest to determine markers responsible for human diseases.
- Metabolomics Data Analysis Use metabolites to identify any potential biomarkers or novel therapeutic targets that may play a role in the mechanisms responsible for the progression of a disease.
- Metagenomics Data Analysis Deconvolute the genetic content of genomes contained in environmental samples by utilizing whole genome sequencing techniques to provide insight into microbial communities and host phenotypes.
- Microbiome Data Analysis Determine the population composition of a microbial community and analyze its contribution to human or animal health.
- Molecular Dynamics Software Run simulations that determine time-dependent behaviors of molecular systems.
- Molecular Phylogenetics Analyze hereditary molecular differences in genomic sequences to compare genomes.
- Mutation Data Profiling Guide treatment decisions in cancer based on the identification of genomic mutations .
- Omics Informatics Consulting Services for the analysis of large-scale molecular data sets.
- Ontology Mapping Assign given ontologies to source data.
- Pharmaco-genomics Genetic polymorphism contribution to inter-individual variability in drugs' responses and/or adverse events.
- Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
- Scientific Pipeline Implementation Design, develop and deploy data analyses workflows.
- Semantic Tech & Triplestores Store and retrieve semantic facts.
- Small RNA Gene Expression Quantify and analyze miRNA, piRNA, siRNA as well as other small nuclear RNAs from small-RNA-seq raw input data sets.
- Software Tools Software tool for statistical analysis, data mining, genome annotation or NGS data analysis.
- System Development Plan, create and deploy an information system.
- Systems Biomedicine Analyze complex interactions in biological systems with interdisciplinary scientific teams.
- Systems Network Analysis Analyze and visualize molecular pathways including gene regulatory, protein-protein and drug-target networks.
- Systems Pharmacology Understand how drugs interact with different molecular and cellular systems within biological models.
- Website
- www.vindhyadatascience.com
Where it operates
Sites by country, with the cities in each.
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United States 1 site
Supplier diversity
SAM.gov small-business designations
Woman-owned
Minority-owned
US small-business federal-contractor designation, self-certified in the U.S. federal System for Award Management (SAM.gov). Coverage is limited to matched U.S. small-business suppliers, so an absent designation is not evidence of its absence.
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