HTStream
importedsoftware/htstream
A high throughput sequence read toolset using a streaming approach facilitated by Linux pipes
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- s4hts
- Country
- unknown
- Homepage
- s4hts.github.io/HTStream/
- Repository
- github.com/s4hts/HTStream
- Documentation
- unknown
- Tags
- bioinformatics · bioinformatics-tool · genomics · linux-pipes · next-generation-sequencing · sequence-analysis · streaming
- 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.
- bioinformatics-toolkitbioinformatics · genomics · sequence-analysis
Command-line tools for genomics and proteomics analysis
- chromapbioinformatics · genomics · sequence-analysis
Fast alignment and preprocessing of chromatin profiles
- genedexbioinformatics · genomics · sequence-analysis
A small and fast FM-Index for Rust
- lightmotifbioinformatics · genomics · sequence-analysis
A lightweight platform-accelerated library for biological motif scanning using position weight matrices.
- pyMSAvizbioinformatics · genomics · sequence-analysis
MSA(Multiple Sequence Alignment) visualization python package for sequence analysis
- FinaleToolkitbioinformatics · bioinformatics-tool · genomics
FinaleToolkit is a package and standalone program to extract fragmentation features of cell-free DNA from paired-end sequencing data.
- api.github.com/repos/s4hts/HTStreamretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-07-01, 50 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/33.json→ .entries["htstream"]
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