Aristotelis Misios bioinformatician

Aristotelis Misios bioinformatician is listed as a small consultant research supplier in the Scientist.com network, with 1 site in 1 country.

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Type of company: Small consultant

Multi-Omics Study Use an integrated multi-omics study to understand a disease mechanism.
Single Cell Transcriptome Sequencing Detect distinct, rare or abnomal cell types in a heterogenous population.

Biostatistics Consulting Apply statistical theory and mathematical principals to research

Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.

NGS: Next Generation Sequencing Sequence millions of template DNA molecules in parallel.
RNA Profiling Quantify the expression levels of mRNA transcripts, enabling the determination of gene expression patterns.
RNA Sequencing Use Next Generation Sequencing techniques to Identify RNA transcripts, examine differential expression patterns and analyze splice variants.
RNA Sequencing/Resequencing Identify RNA transcripts, examine differential expression patterns and analyze splice variants.
Single Cell RNA Sequencing Quantify mRNA variants in a single cell.

Bioinformatics Consulting Consulting Services for the science of collecting and analyzing complex biological data

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.
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.
In Silico Genomics/Transcriptomics Data Analysis Interpret DNA sequencing and microarray data.
In Silico Metagenomics/Metatranscriptomics Data Analysis Use software to analyze genomic information from multiple environmental sources.

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Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
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.
Omics Informatics Consulting Services for the analysis of large-scale molecular data sets.

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