Evidence map›Paper›PMID 40196604›Full record

ArticlebioRxiv : the preprint server for biology2025

OctopusV and TentacleSV: a one-stop toolkit for multi-sample, cross-platform structural variant comparison and analysis.

Qingxiang Guo, Yangyang Li, Ting-You Wang, Abhi Ramakrishnan, Rendong Yang

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Qingxiang GuoDepartment of Urology, Northwestern University Feinberg School of Medicine, 303 E Superior St, Chicago, 60611, IL, USA.ORCID 0000-0002-3694-3428
Yangyang LiDepartment of Urology, Northwestern University Feinberg School of Medicine, 303 E Superior St, Chicago, 60611, IL, USA.ORCID 0000-0001-8224-1067
Ting-You WangDepartment of Urology, Northwestern University Feinberg School of Medicine, 303 E Superior St, Chicago, 60611, IL, USA.
Abhi RamakrishnanDepartment of Urology, Northwestern University Feinberg School of Medicine, 303 E Superior St, Chicago, 60611, IL, USA.
Rendong YangDepartment of Urology, Northwestern University Feinberg School of Medicine, 303 E Superior St, Chicago, 60611, IL, USA.

Funding

Computational approaches to delineate non-canonical splicing eventsR35GM142441 · NIGMS · UNIVERSITY OF MINNESOTA · PI YANG, RENDONG · 2021 to 2025
$2.0M
Genome-wide mapping and characterization of exitrons in human cancerR01CA259388 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Rendong Yang · 2022 to 2026
$1.8M
NCI NIH HHS R01 CA259388NIGMS NIH HHS R35 GM142441
6 · The paper itself

Abstract

Structural variants (SVs) significantly influence genomic variability and disease, but their accurate analysis across multiple samples and sequencing platforms remains challenging. We developed OctopusV, a tool that standardizes ambiguous breakend (BND) annotations into canonical SV types (inversions, duplications, translocations) and integrates variant calls using flexible set operations, such as union, intersection, difference, and complement, enabling cohort-specific variant identification. Together with TentacleSV, an automated pipeline, OctopusV provides an end-to-end solution from raw data to final callsets. Evaluations show improved precision, recall, and consistency, highlighting its value in cancer genomics and rare disease diagnostics. Both tools are available at https://github.com/ylab-hi/OctopusV and https://github.com/ylab-hi/TentacleSV.

Indexed as

breakend annotationgenomic pipelinesprecision genomicsStructural variantsvariant merging

Identifiers

PMID40196604
PMCPMC11974888

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.