A2IDEA, LLC

A2IDEA, LLC is listed as a small business research supplier in the Scientist.com network, with 1 site in 1 country.

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Sites 1

Countries 1

Type of company: Small business

Cell Culture and Characterization

Copy Number Variant Analysis Detect copy number variants of whole-genome sequences that could attribute to genomic disorders.

Clinical Trials

Statistical Analysis Planning Technical and detailed elaboration of the principal features of the analysis described in the protocol, and includes detailed procedures for executing the statistical analysis of the primary and secondary variables...

Data Science/Bioinformatics

Biostatistical Design Use statistics to ensure appropriate pre-clinical and clinical study design.
Comparative Genome Analysis Examine and compare sequences, genes, and regulatory regions between different organisms.
Gene Set Enrichment Analyses Interpret gene expression data and determine whether there are any associations between classes of genes leading to phenotypic differences.
Genetic Linkage Analysis Identify genetic markers that are associated with disease genes from familial pedigrees' studies.
Genome Wide Association Studies Identify any genetic variations that are associated with a trait or disease.
Network Analyses Analyze and integrate new experimental data to drive hypothesis generation.

Show all 7 in Data Science/Bioinformatics 1 more

Proteome Data Analysis Find tools for analysis of homology and similarity, protein function and structural properties.

DNA & RNA

HISAT Use a fast and sensitive spliced alignment program for mapping RNA-seq reads.

Protein Sciences

Proteomics Data Analysis Identify and quantify the proteome of a biological system at a specific point in time.

Scientific Data Services

Analysis of Variance Test several null hypotheses at the same time using ANOVA.
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.
Clinical Genomics Use genome sequencing to inform patient diagnosis and care.
Cloud Computing Request on-demand computer resources specifically relating to large data storage and computing power.

Show all 29 in Scientific Data Services 23 more

Data Aggregation Gather information for statistical analysis.
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.
Database Integration Convert bioinformatics results from multiple data sources (DSs) into a single operational format.
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.
Genome Data Analysis Analyze genomic DNA, RNA and protein sequence data.
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.
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 .
NGS: Next Generation Sequencing Data Analysis Use software to interpret data created by RNA-Seq, DNA-Seq, ChIP-Seq and DNA methylation experiments.
Omics Informatics Consulting Services for the analysis of large-scale molecular data sets.
Pharmaco-genomics Genetic polymorphism contribution to inter-individual variability in drugs' responses and/or adverse events.
Pharmacogenomics Data Analysis Use software to evaluate genomic data and identify suitable gene candidates for therapeutic products.
Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
Scientific Pipeline Implementation Design, develop and deploy data analyses workflows.
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.
System Integration Link together multiple information management subsystems to add value and functionality.
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.a2idea.com

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