Skip to main content

Ultima Genomics sequencing QC HTML reports

Project description

ugbio_seq_qc

Sequencing QC HTML reports for Ultima Genomics runs.

This package generates self-contained, plotly-based HTML QC reports from Sorter statistics output (the per-sample JSON/CSV files produced by the on-tool Sorter). It lives outside ugbio_core because it depends on ugbio_cloud_utils (cloud_sync) and boto3 for fetching inputs from S3 — dependencies that the dependency-free ugbio_core foundation must not carry.

Reports

  • seq_qc_report — single-sample report. One sample's JSON + CSV → one HTML page with a summary table and coverage / read-length / base-quality / MAPQ figures.
  • seq_qc_multi_sample_report — multi-sample report. Auto-discovers the real samples in a run (via the LibraryInfo sample sheet when present, otherwise by name pattern), then renders one figure per sample grouped by metric, plus a samples-as-rows / metrics-as-columns comparison table with frozen header row and first column.

Both accept a local directory or an s3:// URI.

Usage

# Single sample — explicit files or a directory to auto-detect the basename
seq_qc_report --json sample.json --csv sample.csv --output report.html
seq_qc_report --input-dir s3://.../603559-L13064-Z0152-CATGCAACACTAGAT/

# Multi-sample — a whole run directory (local or s3://)
seq_qc_multi_sample_report --run-dir s3://.../603559/ --output run_report.html

# Multi-sample — explicit per-sample directories
seq_qc_multi_sample_report --input-dir s3://.../sampleA/ --input-dir s3://.../sampleB/

Modules

Module Role
seq_qc_report.py Single-sample report: plotly figure builders (shared) + HTML assembly + CLI.
seq_qc_multi_sample_report.py Multi-sample HTML assembly + comparison table + CLI; reuses the figure builders from seq_qc_report.
sample_discovery.py Sample discovery: LibraryInfo XML parsing, name-pattern filtering, sample loading into SampleData.
file_resolution.py Shared S3 / local file-resolution helpers (list_s3_dir, list_s3_subdirs, resolve_sample_files, ...).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ugbio_seq_qc-1.27.1.tar.gz (13.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ugbio_seq_qc-1.27.1-py3-none-any.whl (14.9 kB view details)

Uploaded Python 3

File details

Details for the file ugbio_seq_qc-1.27.1.tar.gz.

File metadata

  • Download URL: ugbio_seq_qc-1.27.1.tar.gz
  • Upload date:
  • Size: 13.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for ugbio_seq_qc-1.27.1.tar.gz
Algorithm Hash digest
SHA256 de84d5d96ea311a942ead2f51ef2fed9da46f80636b059595202f19f5f4d9aa0
MD5 95a22c59d37ba54fbe5c4e492496d3ef
BLAKE2b-256 5ba3ca57efcb20eec4703bea289f89d663fe2b04f7af8b4e2eadeacaa5e4d710

See more details on using hashes here.

File details

Details for the file ugbio_seq_qc-1.27.1-py3-none-any.whl.

File metadata

  • Download URL: ugbio_seq_qc-1.27.1-py3-none-any.whl
  • Upload date:
  • Size: 14.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for ugbio_seq_qc-1.27.1-py3-none-any.whl
Algorithm Hash digest
SHA256 2197bfc2926b125c5afd4246711a383495a1d53ce5220620d1e5932192277775
MD5 1fa61b20542883c362c204c6b90069ce
BLAKE2b-256 1ed17a7756dde150586254f4806a1a33c50b6c4f27d11963d31b416a96707bf0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page