Data Analysis

The Genomics Center mission is to provide knowledge-based genomics, biostatistical and bioinformatics service. Every new project starts with a kick-off meeting where research question is clarified, bioinformatics data analysis pipeline suggested, and statistical analysis tools proposed. Using our extensive genomics knowhow we offer an assortment of solutions, from basic to cutting-edge projects, using tools from the public domain as well as in-house customized scripts.

Below is a list of different types of analyses we recently performed:

  • Gene expression, microRNA and alternative RNA splicing profile (RNAseq)
  • Single base and structural variant detection (DNAseq, exome sequencing)
  • Low frequency variant detection (Cancer samples)
  • DNA methylation profile (Bisulfite DNAseq)
  • Identification of novel transcripts (De-novo RNAseq assembly)
  • 16S rRNA profiling (Microbiome sequencing)
  • DNA-protein interaction analysis (ChIP-seq and more)
  • RNA-protein interaction analysis (RIP-seq, CLIP, etc)
  • DNA conformation profile (Hi-C, ATAC-seq, etc)
  • Novel motif discovery (ChIP-seq and RNAseq)
  • Data mining – analyzing and combining datasets from the public domain
  • Pathway analysis – meaningful interpretation of gene lists using several tools such as Ingenuity Pathway Analysis (IPA), FGNet and iPathwayGuide

For additional information, please contact:

 Liat Linde, tel 073-3785452 or 077-8875168

Rappaport building 073-3785221

Emerson building 077-8871387

dataanalysis