Release Notes

Author: SeekGene

Time: 2 min

Words: 312 words

Updated: 2026-05-14

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SeekSpace® Tools

v1.0.3

WARNING

Version Compatibility Notice: Because v1.0.3 introduces data parsing support for new GeneMind sequencing chips, this version no longer supports data analysis for older chip versions. You can determine the chip's batch information from the middle six digits of its ID: for example, the chip ID 2P250718026C2 corresponds to the batch of July 18, 2025. Chips from this batch or later are supported by v1.0.3; for chips from earlier batches, please continue using older software versions for analysis.

New Features

• Added data parsing support for new GeneMind sequencing chips.
• Added export functionality for high-resolution DAPI images.
• Introduced a Scanpy-based clustering analysis algorithm, supporting the export of results in h5ad format.

Improvements

• Optimized the umitools UMI correction strategy: added a maximum processing threshold to skip correction when the UMI count exceeds 5,000, avoiding performance degradation caused by overly large graphs.
• Fixed an issue where images displayed abnormally in the Web Summary report after filtering cells, and added a dynamic adjustment feature for scatter plot point size in interactive charts.

v1.0.2

New Features

• Added tunable parameters for tissue segmentation to improve recognition of low-signal tissue regions.
• Optimized the Web Summary interface: enabled filtering by gene count, UMI count, and mitochondrial content, with real-time display of changes in cell counts.

Improvements

• Refactored the multiprocessing scheduling mechanism to significantly improve CPU utilization.
• Enhanced GTF parsing compatibility: support transcript annotations without the exon_id attribute, and added exon identification logic based on type=exon.
• Redesigned the lncRNA statistics algorithm and corrected the median computation method.
• Added QC metrics for spatial transcriptomics data: Q30 statistics for spatial barcodes and spatial UMIs.
• Optimized filtered_feature_bc_matrix output to extract valid cell spatial location information within tissue regions.

v1.0.0

Initial Release

• Released a stable version that supports the standard analysis workflow for spatial transcriptomics data.