ArticleMethods in molecular biology (Clifton, N.J.)2026
Bioinformatics of Shallow Whole Genome Sequencing Data of Circulating Tumor Cells to Inform Cancer Diagnosis and Treatment.
Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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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0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
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Abstract
Shallow whole-genome sequencing (sWGS) is a cost-effective method for rapidly detecting large-scale genome alterations like copy number alterations. The sWGS workflow involves DNA extraction, library preparation, and sequencing, followed by specialized bioinformatics analyses, which we carefully review at each step. This workflow includes data preprocessing and alignment to a reference genome, with each bioinformatics stage carefully detailed as it plays a pivotal role in ensuring the accuracy and biological relevance of the results. The application of this process enables reliable data collection and analysis for monitoring cancer evolution and treatment responses by identifying critical genome changes, providing significant insights for prognosis and therapeutic decision-making across various cancer types.
Indexed as
Identifiers
42426466What Socratic holds
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 Socratic graph.