Bioinformatics about

Bioinformatics and Biological Computing Unit

Is devoted to advancing scientific understanding of living systems through computation. The unit promotes and supports the adoption, use, and development of bioinformatics tools for advancing biological research. We organize and teach courses and workshops for all our services, as well train individually to use the various tools. Since bioinformatics is such a broad field, our efforts are focused on those topics that are most needed by Weizmann researchers. 

The Bioinformatics Unit is supported by the Wertheimer Center for Computational Biology.

Next-generation sequencing analysis and interpretation

Classic bioinformatics and Genomics

Biostatistical Support

CRISPR design

MicroArray analysis

How-to Information

Our Primary Activities Include (for more information click here):

  • Next-generation sequencing analysis and interpretation - Dr. Dena Leshkowitz, Dr. Ester Feldmesser, Dr. Gil Stelzer
    The advent of next generation sequencing (NGS) platforms have opened exciting new avenues to life science researchers. Our aim is to help you in the experimental design and the interpretation of the mass data generated according to your scientific interest.
    Our current expertise are in the applications: Transcriptome analysis: RNA-Seq, Mars-seq & single cell RNA-Seq (scRNA), ChIP-Seq, small RNA-Seq, de novo assembly (RNA and DNA level) and genetic variation detection. We will be glad to extend our knowledge in this dynamic field and provide analysis in additional applications.

    Pipelines for Next-generation sequencing analysis – Refael Kohen
    Programming and adjusting pipelines to support the analysis of data produced by genomic technologies found in the advanced-sequencing-technologies unit . See our new transcriptome pipeline

  • Classic Bioinformatics and Genomics - Dr. Shifra Ben-Dor
    This topic includes all of the classical bioinformatics problems, including troubleshooting Sanger sequencing, cloning design, primer design, database searches, multiple alignments, prediction of post-translational modifications, phylogenetic analysis and promoter analysis.
    Several types of genome level analysis are supported. This includes genome browsers, cross-genome comparisons, and gene definition. We also analyze the results of high throughput Mass Spectrometry experiments on the biological level (pathways and Gene Ontology).
  • Biostatistical Support - Dr. Ron Rotkopf
    The Bioinformatics Unit provides Biostatistical support to Weizmann researchers, at different stages of the experiment. We encourage researchers to consult a statistician early in the planning stage of a project, discussing aspects of design, sample size calculations, organization of data, plans for statistical analysis and presentation and interpretation of statistical analysis results. Once the data has been collected we can guide the investigator through the necessary procedures.
  • CRIPSR design - Dr. Shifra Ben-Dor, Dr. Noa Wigoda and Irit Orr
    Designing CRISPR guides for various types of analyses and checking the results.
  • Microarray analysis - Irit Orr and Dr. Ron Rotkopf
    Microarray support starts from experimental design (kick-off meetings, joint with the wet lab) before the biological experiment is performed, through the final analysis after the microarray has been run. This includes pathway and Gene Ontology analysis of gene lists.
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