Volcani Bioinformatics Unit

About

Volcani Bioinformatics Unit:

  1. Provide softwares, databases and training.
  2. Perform research in biological computing with researches at the campus and external organizations, enabling them to analyze high-throughput datasets.

Research and analysis services

The unit provides a wide range of services in accordance with the research needs. The main analysis currently performed is detailed below.  We are constantly making an effort to update the range of services and tools.

Transcriptome Sequences assembly: De-novo transcriptome assembly of non-model species based on next generation sequencing from Illumina technology.

Annotation of Transcriptome : Transcripts annotation based on sequences similarity to available database sequences (i.e.: NCBI databases and UniProt)

RNA-Seq analysis : Differential expression analysis and cluster analysis. Functional analysis of the differentially expressed genes, including GO term, and pathway enrichment analysis.

Genotype By Sequencing (GBS) data analysis: Genome-wide SNP discovery by combining the power of multiplexed NGS. Tassel-GBS pipeline is used for the analysis.

Variant Calling: Variant calling or SNP discovery based on NGS data. Quality control and filter steps are performed to provide reliable data.

Phylogenetic analysis:  Explore evolutionary relationships among organisms or genes based on genetic data.

Metagenomic analysis: Identification of microbial and fungi communities from sequences of 16S/18S rRNA and from metagenomic sequencing data.

Team

Volcani Bioinformatics Unit is located in the Volcani center, Institute of Plant Sciences, Crop Science build:

Adi Faigenboim, Ph.D.: Room 1037, adif@volcani.agri.gov.il

Noa Sela, Ph.D.: Room 1034, noa@volcani.agri.gov.il

Arye Harel, Ph.D.: Room 1034, aryeharel@volcani.agri.gov.il

Gon Carmi, Ph.D.: Newe Ya’ar Research Center, gonc@volcani.agri.gov.il

Volcani Bioinformatics Unit:

  1. Provide softwares, databases and training.
  2. Perform research in biological computing with researches at the campus and external organizations, enabling them to analyze high-throughput datasets.