Bioinformatics Support

for Next Generation Sequencing

Illumina

Ion Torrent

BGI/MGI

We offer comprehensive bioinformatics support for Next Generation Sequencing (NGS) projects including DNA-seq (WGS, WES, AmpliSeq), RNA-seq (WTS, mRNA-seq, small RNA-seq, single-cell RNA-seq), Bisulfite-seq (WGBS, RRBS), ChIP-seq (Histones & TFs-bound DNA-seq, ATAC-seq), MeDIP-seq/DIP-seq and metagenomics. We apply both commonly used and in-house algorithms according to the best scientific standards for NGS data analysis. Our experts' network includes the main developers of several popular library preparation techniques for NGS as well as widely used data analysis packages.

Up-to-Date Software and Databases
Validated Data Analysis Pipelines
Highly Customized Approaches
Publication-Ready Figures
Fast Turnaround Time
Optimal Prices

NGS Data Analysis

Computational analyses of deep sequencing data with validated pipelines.
All popular platforms including Illumina, BGI/MGI and Ion Torrent.
Up-to-date and well-proven software and algorithms.
Data visualization and publication-ready figures.

Analysis of WGS, WES or panel sequencing data from tumor or liquid biopsies.
Identification of cancer driver genes and lists of "druggable" mutations.
Accordance with current international recommendations.
Innovative in-house developed pipelines.

JOIN OUR NETWORK

We are glad to consider highly experienced bioinformaticians and molecular biologists for joining our experts' network. Please feel free to send us your CV by email to careers[at]sciberg.com. We expect the following minimum requirements for a candidate to be considered:

PhD degree in biological or computational discipline from a well-recognized university.
Several years of research experience involving applied bioinformatics, genomics and computational work.
Profound knowledge of bioinformatics-related databases including Ensembl, UCSC, NCBI and GENCODE.
Understanding of current NGS data analysis pipelines and software packages. Awareness of their strengths and weaknesses.
Proficiency in Shell/Bash or Python scripting and statistical data analysis tools such as R/Bioconductor.
Experience in data visualization with R/Bioconductor or Python.