Evidence map›Paper›PMID 42051300›Full record

ArticlebioRxiv : the preprint server for biology2026

Combined inference of known and novel mutational signatures with ReDeNovo.

Ziynet Nesibe Kesimoglu, Ermin Hodzic, Jan Hoinka, Bayarbaatar Amgalan, M G Hirsch, Teresa M Przytycka

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ziynet Nesibe KesimogluComputational Biology Branch, Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, USA.ORCID 0000-0001-8592-4365
Ermin HodzicComputational Biology Branch, Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, USA.
Jan HoinkaComputational Biology Branch, Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, USA.
Bayarbaatar AmgalanComputational Biology Branch, Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, USA.
M G HirschComputational Biology Branch, Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, USA.
Teresa M PrzytyckaComputational Biology Branch, Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutational signatures represent characteristic mutational patterns imprinted on the genome by mutagenic processes. They can provide information about the impact of the environmental and endogenous cellular processes on tumor mutations and can suggest treatment. Analysis of presence and strength of mutational signatures in cancer genomes has become a cornerstone in analysis of new and legacy cancer data. However, a precise inference of novel (

Indexed as

cancerdouble strand breaks related signaturesheuristic for non-convex optimizationmutagenic processesmutation signaturesUV light mutations

Identifiers

PMID42051300
PMCPMC13119315

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.