fastq2dcc
importedsoftware/fastq2dcc
Install the GeoMxNGSPipeline_Linux_2.0.0.16 tool from Nanostring/illumina to docker container, and convert it to Singularity.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/leosfan/fastq2dcc
- Documentation
- unknown
- Tags
- digital-pathology · dsp · geomx · nanostring · singularity-container
- 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.
- dicom-containerssingularity-container
singularity and Docker containers to easily get started with common dicom tools
- ruv-neuraldsp
The open closed-loop OS for gamma-entrainment research — a Rust/WASM/edge harness to measure, adapt & compare 40 Hz multisensory stimulation protocols with signed, reproducible evidence.…
- ACMILdigital-pathology
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
- aestetikdigital-pathology
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- anonymize-slide-python3-guidigital-pathology
Delete the label image to deidentify a whole-slide image (WSI) with an optional GUI
- breast-epithelium-segmentationdigital-pathology
🌸 Breast epithelium segmentation through IHC-guided supervision
- api.github.com/repos/leosfan/fastq2dccretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-09-09, 3 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/34.json→ .entries["fastq2dcc"]
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