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Skip search results from other journals and go to results- 10 JMIR Bioinformatics and Biotechnology
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This study highlights the potential of bioinformatics-driven variant analysis in exploring high-risk ADAM17 mutations, shedding light on their possible role in SARS-Co V-2 infection and advancing our understanding of ADAM17’s impact on immune and inflammatory processes.
We collected single-nucleotide polymorphisms (SNPs) of the ADAM17 gene data from the Ensembl database [24].
JMIR Bioinform Biotech 2025;6:e72133
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bioinformaticsBioinformatics, genomics, tools and databases
JMIR Bioinform Biotech 2025;6:e65645
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ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research
Chat GPT has excelled in some recent data analysis applications by completing bioinformatics exercises with high accuracy [6]. A preliminary analysis of Chat GPT’s utility as a data analysis tool found that it provided results consistent with traditional biostatistical software [11]. However, the extent to which Chat GPT can assist with data analysis when the research question is cross-disciplinary remains unclear.
J Med Internet Res 2025;27:e63550
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This is the peer-review report for “Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis.”
JMIRx Med 2025;6:e70041
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This is the peer-review report for “Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis.”
Title: “Herpesvirus infections eliminate safeguards against breast cancer and its metastasis: comparable to hereditary breast cancers”
The paper [1] hypothesizes that Epstein-Barr virus (EBV) infections promote breast cancer by disabling cancer safeguards.
JMIRx Med 2025;6:e70039
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This is the author’s response to peer-review reports for “Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis.”
Title: “Herpesvirus infections eliminate safeguards against breast cancer and its metastasis: comparable to hereditary breast cancers”
The paper [2] hypothesizes that Epstein-Barr virus (EBV) infections promote breast cancer by disabling cancer safeguards.
JMIRx Med 2025;6:e69307
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The strategy of using bioinformatics to identify markers of “long EBV” may well work for other cancers, multiple sclerosis [103], and other chronic diseases that are currently unexplained. Testing for persistent viral damage in genomes from biopsies is a new method for screening for breast cancer risk. The results may inform further prevention and treatment decisions. Cancer drug therapy has focused on finding and destroying cancer-driver gene products.
JMIRx Med 2025;6:e50712
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Using the FASTQC tool (version 0.11.9; Babraham Bioinformatics), a qualitative analysis of the sequenced data was carried out. Trimmomatic (version 0.36; Usadel lab) was used to trim low-quality reads, as well as Trueseq adapters. To make sure that the adapters and poor-quality reads were removed, the FASTQC procedure was repeated. Reads were confined to a minimum length of 100 bp. Using the HISAT2 (version 2.2.1) aligner, the trimmed paired fastq files were aligned to the GRCH37 genome (hg19).
JMIR Bioinform Biotech 2024;5:e65506
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Identifying Learning Preferences and Strategies in Health Data Science Courses: Systematic Review
Abrahamsson and Dávila Lopez [55] analyzed the learning preferences of graduate students in 5 web-based bioinformatics-related courses and found that 91% of the students preferred synchronous and asynchronous lectures, which include visual presentations, while only 9% favored reading materials. Li and Abdul Rahman [52] analyzed the learning styles of bioinformatics students using the FSILS and found that the majority of the students were visual learners (66%).
JMIR Med Educ 2024;10:e50667
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bioinformaticsGenomics and Bioinformatics for Clinical Use
JMIR Bioinform Biotech 2024;5:e56538
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