Preimplantation genetic screening PGS can benefit any couple at risk from passing on
genetic\chromosomal abnormalities.

Promoting excellence and professionalism in the delivery of laboratory services through patient – focused,
cost – effective diagnostic services.

The GenaTi team of researchers and scientists continues to work tremendously hard in order to set up new research
priorities and strategic directions for the GenaTi that are crucial to strengthening Saudi Arabia's health care system.

GenaTi contributes to the prevention of genetic diseases in the Kingdom of Saudi Arabia by offering
pre-implantation genetic diagnosis and screening in its new IVF clinic



The GenaTi Bioinformatics & Biostatistics Research Services (GBBRS) provide consultation services in planning NGS and other genomic experiments; NGS data processing, analysis and management; software and database development; bioinformatics training, and access to high-performance computing resources to deliver timely and reliable results. The goal of the GBBRS is to provide best-in-class high performance computational infrastructure and cutting edge bioinformatics services to facilitate massive scale genomics and proteomics studies to national and international researchers and students.

Why do you need bioinformatics expert for data analysis?

To avoid wrong interpretation or misleading conclusion due to unavailability of bioinformatics expert. Modern research is best executed as team work including specialist from various disciplines. Majority of research projects involve omics-platforms, and on many occasion you need bioinformatics work to complete the project objectives. We have a strong bioinformatics team with more than 8 years of research experience, and now we offer bioinformatics services through GenaTi.

The GBBRS Services’ list:

  Reference-based and de novo assembly of eukaryotic and prokaryotic genomes
  Whole exome and whole genome analysis, quality assessment of genome assemblies
  Identification and annotation of DNA structural variants (variant calling, CNVs)
  ChIP-seq (TFs, histone modifications) and Genome functional annotation
  Analysis of microarray based high-throughput data (Affymetrix CytoScan, Agilent arrayCGH, etc)
  Sequence analysis, such as protein and ncRNA homology prediction, gene finding, motif analysis, phylogeny.

  RNA-seq for mRNA, small and non-coding RNA
 Transcriptome functional annotation
 Variant calling from transcriptome sequencing data.
  Functional analysis of differentially expressed genes/transcripts: Gene Ontology terms, DNA motifs, and pathways enrichment analysis.
  Identification of batch effects and visualization of data and results: hierarchical clustering, heatmaps, dendrograms, volcano plots, principal components analysis for the overall (dis)similarity among experiments.
  Analysis of Affymetrix Gene Expression Microarray, OpenArray real-time PCR, and other high-throughput experimental data.

Proteomics and Metabolomics
  Mass-spectroscope based protein and peptide analysis
  2-D Gel Electrophoresis
  Metabolite identification and annotation
  Multiple sequence alignment and phylogenetics
  Protein functional annotation and prediction, protein-protein interaction.

Molecular Modeling, Docking and Drug Design
  Homology Modeling.
  Molecular Modeling and docking
  Prediction of effect of gene mutation on protein structure and function.
  Ligand /Drug Screening

Databases and Software
  Databases: Relational and SQL.
  Web-tools, and websites for data submission, search, and analysis.
  Data submission to GEO, ArrayExpress and other public data repositories.
  LIMSs (Laboratory Information Management System) for management of the laboratory's operations, data flow, and communication with users and external collaborators.
  Software development: bioinformatics scripts; data processing and analysis pipelines; integrative bioinformatics web applications; customized genome browsers.
  Mining of databases, bioinformatics analysis design, exploring preliminary results, and result interpretation.

Statistical analysis

Statistical analysis: R scripts preparation, images, descriptive and inferred statistics, hypothesis testing, sample size estimation, PCA, clustering, linear regression, correlation, ANOVA.

The service also offer finding bioinformatics databases, Genome Browsers, bioinformatics software, pipelines, R, standard bioinformatics analysis.