ClairS-TO
importedsoftware/clairs-to
ClairS-TO - a deep-learning method for tumor-only somatic variant calling
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- active
- Maturity
- deployed
- Organization
- HKU-BAL
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/HKU-BAL/ClairS-TO
- Documentation
- unknown
- Tags
- bioinformatics · deep-learning · genomics · illumina · long-read-sequencing · long-reads · nanopore · ont
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ClairSbioinformatics · genomics · illumina · long-read-sequencing · long-reads
ClairS: a deep-learning method for long-read tumor–normal pair somatic small variant calling
- taxprofilerbioinformatics · illumina · long-reads · nanopore
Highly parallelised multi-taxonomic profiling of shotgun short- and long-read metagenomic data
- Clair3-RNAlong-read-sequencing · nanopore · ont
Clair3-RNA - a long-read small variant caller for RNA sequencing data
- MGSEgenomics · illumina · ont
Mapping-based Genome Size Estimation (MGSE) performs an estimation of a genome size based on a read mapping to an existing genome sequence assembly.
- haslrbioinformatics · genomics · long-reads · nanopore
A fast tool for hybrid genome assembly of long and short reads
- tiptoftbioinformatics · genomics · long-reads · nanopore
Predict plasmids from uncorrected long read data
- api.github.com/repos/HKU-BAL/ClairS-TOretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-29, 93 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/51.json→ .entries["clairs-to"]
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