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INSERM
- Nantes, France
- https://genomic.social/web/@yokofakun
CNV/SV
Python deployment tool for bespoke image curation projects, oriented toward scientific projects. Please cite https://academic.oup.com/gigascience/article/7/7/giy064/5026174
A bioinformatics best-practice analysis pipeline for calling structural variants (SVs), copy number variants (CNVs) and repeat region expansions (RREs) from short DNA reads
Population-based detection of structural variation from High-Throughput Sequencing.
Plot structural variant signals from many BAMs and CRAMs
Method for Identifying Novel Transcripts and Isoforms using Equivalence classes, in cancer and rare disease.
Interactive multiscale visualization for structural variation in human genomes
FindCSV: A long-read based method for detecting complex structural variations
Deep learning-based structural variant filtering method
Deep learning framework for SV calling and genotyping
a tool for CNV discovery and genotyping from depth-of-coverage by mapped reads
A bioinformatics best-practice analysis pipeline for the analysis of shallow whole genome sequencing (sWGS) data for the identification of copy number alterations (CNAs).
Expedite large-scale identification of CNVs within predefined genomic regions. Online app available for those with GP2 Tier 2 Access.
KILDA (KIv2 Length Determined from a kmer Analysis) provides an alignment-free estimation of the number of KIV2 (Kringle IV type 2) repeats from FASTQ files.
A local-haplotagging-based small and structural variant caller
Grammar of Scalable Linked Interactive Nucleotide Graphics
Complex structural variant visualization for HiFi sequencing data
SV analysis of the long-read sequencing data of the 1019 samples of the 1KG-ONT panel