Evidence map›Paper›PMID 38224549›Full record

ArticleBioinformatics (Oxford, England)2024

Fragmentstein-facilitating data reuse for cell-free DNA fragment analysis.

Zsolt Balázs, Todor Gitchev, Ivna Ivanković, Michael Krauthammer

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Zsolt BalázsDepartment of Quantitative Biomedicine, University of Zurich, Zurich 8057, Switzerland.ORCID 0000-0003-3537-7441
Todor GitchevDepartment of Quantitative Biomedicine, University of Zurich, Zurich 8057, Switzerland.ORCID 0000-0002-7470-0646
Ivna IvankovićDepartment of Quantitative Biomedicine, University of Zurich, Zurich 8057, Switzerland.
Michael KrauthammerDepartment of Quantitative Biomedicine, University of Zurich, Zurich 8057, Switzerland.

Funding

Forschungskredit
6 · The paper itself

Abstract

summaryMethod development for the analysis of cell-free DNA (cfDNA) sequencing data is impeded by limited data sharing due to the strict control of sensitive genomic data. An existing solution for facilitating data sharing removes nucleotide-level information from raw cfDNA sequencing data, keeping alignment coordinates only. This simplified format can be publicly shared and would, theoretically, suffice for common functional analyses of cfDNA data. However, current bioinformatics software requires nucleotide-level information and cannot process the simplified format. We present Fragmentstein, a command-line tool for converting non-sensitive cfDNA-fragmentation data into alignment mapping (BAM) files. Fragmentstein complements fragment coordinates with sequence information from a reference genome to reconstruct BAM files. We demonstrate the utility of Fragmentstein by showing the feasibility of copy number variant (CNV), nucleosome occupancy, and fragment length analyses from non-sensitive fragmentation data. AVAILABILITY AND IMPLEMENTATION: Implemented in bash, Fragmentstein is available at https://github.com/uzh-dqbm-cmi/fragmentstein, licensed under GNU GPLv3.

Indexed as

Cell-Free Nucleic AcidsSoftwareGenomeGenomicsHigh-Throughput Nucleotide SequencingNucleotidesSequence Analysis, DNACell-Free Nucleic AcidsNucleotides

Identifiers

PMID38224549
PMCPMC10805340

What OpenQuestion holds

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Registered trials

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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.