Scientific Research Center

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DNA Sequencing Data Analysis

DNA Sequencing Data Analysis

DNA-SEQUENCING comes in many forms. Whole-genome sequencing (WGS), whole-exome sequencing (WES) and targeted sequencing enable studying heritable and somatic DNA variants.Metagenomic whole-genome sequencing of microbial communities allows analyzing their compositions and functions.

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RNA Sequencing Data Analysis

RNA Sequencing Data Analysis

The protocol of RNA-seq starts with the conversion of RNA, either total, enriched for mRNA, or depleted of rRNA, into cDNA. After fragmentation, adapter ligation, and index ligation, each cDNA fragment is subsequently sequenced or “read" using a high-throughput platform.

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Single-Cell RNA Sequencing Data Analysis

Single-Cell RNA Sequencing Data Analysis

Here we present typical single-cell analyses, focusing on scRNA-seq but covering also its integration with other common single-cell assays. We also list single-cell papers that we have published.

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Epigenomic Data Analysis

Epigenomic Data Analysis

Epigenomics characterizes the chromatin state down to minuscule chemical modifications. Epigenetic changes to the DNA and associated proteins affect gene expression and may lead to altered cellular states, including diseases.

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Proteomic & Metabolomic Data Analysis

Proteomic & Metabolomic Data Analysis

Proteins and metabolites are typically identified and quantified by the means of mass-spectrometry. Other methods, relying on antibodies or nuclear magnetic resonance provide lower-throughput or less quantitative data, often with lower costs compared to MS.

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