ArticleBioinformatics advances2026
TelomereHunter2: improved
Article in Bioinformatics advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motivation: Telomere biology plays a critical role in multiple biological processes including carcinogenesis, aging, and genome stability. With increasing availability of DNA-sequence datasets, telomere length and composition are more frequently directly inferred Results: We developed TelomereHunter2 (TH2) to create a sustainable framework for telomere analysis. By containerizing our software and improving the runtime by up to 74%, we simplify the integration of TH2 into diverse precision oncology workflows and computational environments. We also extended TH2 to support non-human genomes and single-cell sequencing approaches, broadening its applications across species and methodologies. We demonstrate TH2 improvements on a pilot dataset. Availability and implementation: TelomereHunter2 is an open-source Python package released under the GPL-3.0 license. It is distributed via PyPI and the source code, documentation, and wiki are available at: https://github.com/ferdinand-popp/TelomereHunter2.
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Registered trials
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.