BOL

Ongoing research in the group of Karine Van Doninck involves topics at the core of evolutionary biology, including the evolution of sex, genome maintenance, recombination and extreme stress resistance on different eukaryotic systems, including...

www.nature.com - The UCSC SARS-CoV-2 Genome Browser (https://genome.ucsc.edu/covid19.html) is an adaptation of our popular genome-browser visualization tool for this virus, containing many annotation tracks and new features, including conservation with similar...

github.com - MUM&Co is able to detect:Deletions, insertions, tandem duplications and tandem contractions (>=50bp & <=150kb)Inversions (>=1kb) and translocations (>=10kb)

github.com - The Genome Context Viewer (GCV) is a web-app that visualizes genomic context data provided by third party services. Specifically, it uses functional annotations as a unit of search and comparison. By adopting a common set of annotations, data-store...

FASTA VALIDATOR + SEQKIT RMDUP: FASTA validation GENOMETOOLS GT GFF3VALIDATOR: GFF3 validation ASSEMBLATHON STATS: Assembly statistics GENOMETOOLS GT STAT: Annotation statistics NCBI FCS ADAPTOR: Adaptor contamination pass/fail NCBI...

As genome screening becomes more affordable and integrated into routine healthcare, its potential to transform lives is immense. Policymakers, healthcare providers, and genetic counselors must collaborate to ensure ethical implementation, public...

github.com - HiTE is a Python software that uses a dynamic boundary adjustment approach to detect and annotate full-length Transposable Elements in Genome Assemblies. In comparison to other tools, HiTE demonstrates superior performance in detecting a...

Broad Area of Research: RNA biology (microRNA, lncRNA), Stem cells, Functional genomics, Epigenomics and Cancer RNAs, especially non-coding RNAs (such as microRNA, long ncRNAs) are recently identified to be very abundant in mammalian organisms...

Research in our group focuses on the investigation of the signals involved in gene specification in genomic sequences (promoter elements, splice sites, translation initiation sites, etc…). We are interested both in the mechanism of their recognition...

They develop machine learning techniques to better understand chromatin biology. These models and algorithms transform high-dimensional functional genomics data into interpretable patterns and lead to new biological...