OTTER: Orchestrated Transcriptomic, Tumor-xenograft (PDX/CDX), and Epigenomic Reporting Workflow

Summary: Tumor xenograft sequencing libraries inevitably contain infiltrating murine host reads, but conventional deconvolution tools fail on bisulfite sequencing (BS-seq) because chemical C-to-T deamination collapses sequence entropy and destroys graft recall (< 0.015%). We present OTTER, an automated, compiled multi-omics workflow framework that decouples execution into static domain operators, an immutable reference registry, and a native strand-aware edit-distance engine, restoring bisulfite deconvolution (52%-54% recall across a 0%-99% compositional gradient) while preserving complete decision parity on transcriptomics. Availability and implementation: OTTER is implemented in Go and Rust, runs on x86_64 Linux (including CentOS 7 with glibc 2.17), and is freely available open-source under the MIT License at https://github.com/otterlab-bio/otter; test and validation data are provided at https://huggingface.co/datasets/fallingstar10/otter-data.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-27
DOI
https://doi.org/10.64898/2026.10.24.761506
Primary Topic
Genomics and Phylogenetic Studies
Type
preprint

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preprint

OTTER: Orchestrated Transcriptomic, Tumor-xenograft (PDX/CDX), and Epigenomic Reporting Workflow

Hongcang Gu, Xiaojun Sun, Yingyu Yi, Xiaoxue Wang et al.
bioRxiv (Cold Spring Harbor Laboratory)
Genomics and Phylogenetic Studies
preprint

OTTER: Orchestrated Transcriptomic, Tumor-xenograft (PDX/CDX), and Epigenomic Reporting Workflow

Hongcang Gu, Xiaojun Sun, Yingyu Yi, Xiaoxue Wang, Xiaojing Yan, Xin Liu, Yanhua Zheng, Cheuk-Him Man, Fang Liu, Fan Zhang
preprint en

Abstract

Summary: Tumor xenograft sequencing libraries inevitably contain infiltrating murine host reads, but conventional deconvolution tools fail on bisulfite sequencing (BS-seq) because chemical C-to-T deamination collapses sequence entropy and destroys graft recall (< 0.015%). We present OTTER, an automated, compiled multi-omics workflow framework that decouples execution into static domain operators, an immutable reference registry, and a native strand-aware edit-distance engine, restoring bisulfite deconvolution (52%-54% recall across a 0%-99% compositional gradient) while preserving complete decision parity on transcriptomics. Availability and implementation: OTTER is implemented in Go and Rust, runs on x86_64 Linux (including CentOS 7 with glibc 2.17), and is freely available open-source under the MIT License at https://github.com/otterlab-bio/otter; test and validation data are provided at https://huggingface.co/datasets/fallingstar10/otter-data.

bioRxiv (Cold Spring Harbor Laboratory)
Sun Yat-sen University (CN), Guangdong Medical College (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), Dongguan People’s Hospital (CN), First Hospital of China Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Liaoning Province, National Science and Technology Major Project, Natural Science Foundation of Anhui Province, Hefei Institutes of Physical Science, Chinese Academy of Sciences
Genomics and Phylogenetic Studies
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OTTER: Orchestrated Transcriptomic, Tumor-xenograft (PDX/CDX), and Epigenomic Reporting Workflow — Hongcang Gu, Xiaojun Sun, et al. · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS