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Biomarkers, next generation sequencing, microarrays and bioinformatics
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Bioinformatics
Our bioinformatics services include:
Microarray data analysis
  • Gene expression profiling
  • Genome-wide and custom panel genotyping
  • DNA methylation profiling
Next Generation Sequencing
Summarized below is a list of the information provided by the various analyses:
RNA - and small non coding RNA - sequencing
  • Quality controls of raw sequence data
  • Alignment of reads against the reference genome to identify expressed long or small RNAs
  • Differential expression analysis with graphical visualization of the results
  • Identification of mRNAs targets of microRNAs identified by sequencing
Whole genome and exome sequencing, targeted re-sequencing
  • Quality check of raw sequence data
  • Alignment of paired-end reads against reference genome (.bam files)
  • Identification of SNVs (Single Nucleotide Variants) and small InDels (Insertions and Deletions) using ‘gold standard‘ tools (.vcf files)
  • Filtering against dbSNP and 1000 Genomes databases
  • Functional annotation using ANNOVAR
  • Graphical visualization of the variations
ChIP-Seq
  • Quality controls of raw sequence data
  • Alignment of reads against the reference genome
  • Identification of protein-DNA binding sites
  • Annotation of peaks at the genome level (peaks close to TSS, exonic regions and intronic regions, etc.)
  • Motif analysis
Methyl- and BS- Sequencing
  • Quality controls of raw sequence data
  • Alignment of reads against the reference genome
  • Quantification of DNA methylation levels
  • Identification of differentially methylated regions
  • GO, Pathway, etc
  • Generation of methylation browser tracks
Metagenomics
  • Quality controls of raw sequence data
  • Species classification by aligning reads to the database
  • OUT analysis based on clustering distance
  • Species (or OTU) abundance and diversity analysis
  • Phylogenetic analysis
  • Comparative analysis in multi-sample
Single-cell RNA-Sequencing
  • Quality controls of raw sequence data
  • Alignment against reference genome to identify expressed mRNAs
  • Statistical test for differential expression with graphical visualization of the results

Data storage
Genomix4Life S.r.l. uses the High Performance Computing (HPC) infrastructure of the University of Salerno for parallel computing and storage (Server Power Edge DELL 6220, Power Edge C410x, storage system based on EqualLogic DELL storage disks) and additional resources for Next Generation Sequencing data storage.
For further details please contact us at  
laboratorio medicina molecolare e genomica Salerno















For any enquiry, please contact us.