Tag Archives: genomics

A recurring challenge in interpreting genomic data is the assessment of results in the context of existing reference databases. Currently, there is no tool implementing automated, easy programmatic access to curated reference information stored in a diverse collection of large, ...

Jumpcode Genomics and TGen Partner on Genomic Sequencing of COVID-19 Collaboration leverages CRISPRclean™ technology for genomic sequencing to help identify and track COVID-19 variants SAN DIEGO, Calif. – September 14, 2021 – Jumpcode Genomics, a genome technology platform company focused ...

To be part of the NORLUX Neuro-Oncology laboratory (Group leaders: Prof Simone Niclou and Dr. Anna Golebiewska) within the Department of Oncology at the LIH, we are currently looking for: Post-doctoral position in computational biology of glioma 3-year fixed-term contract, ...

Recent transcriptional profiling technologies are uncovering previously-undefined cell populations and molecular markers at an unprecedented pace. While single cell RNA (scRNA) sequencing is an attractive...

Are you interested in analysing the expression dynamics in single cell RNAseq data, and estimating the RNA velocity of single cells? This talk (https://youtu.be/EPTgF4EA2zY) introduces the Velocyto package (http://velocyto.org/), winner of the SIB Bioinformatics Awards 2019 in the category Bioinformatics ...

Small RNA sequencing has been widely adopted to study the diversity of extracellular RNAs (exRNAs) in biofluids; however, the analysis of exRNA samples...

Description Our lab is interested in transcriptome and epigenetic changes that occur in a time-dependent manner during pregnancy and how those can influence autoimmune disease. We are seeking a highly motivated and creative postdoctoral fellow to examine changes in coding ...

High throughput (HT) screens in the omics field are typically analyzed by automated pipelines that generate static visualizations and comprehensive spreadsheet data for scientists. However, exploratory and hypothesis driven data analysis are key aspects for the understanding of biological systems, ...

Data exploration is critical to the comprehension of large biological datasets obtained by high-throughput assays such as sequencing. Interactive exploration fosters the generation of novel data-driven hypotheses...

Reproducibility of in-silico pipelines analysis is one of biology’s most pressing issues. The exponential growth of biological datasets, increasingly complex data analysis methods and the lack of community...