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- Volume 18, Issue 2, 2023
Current Bioinformatics - Volume 18, Issue 2, 2023
Volume 18, Issue 2, 2023
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Essential Non-coding Genes: A New Playground of Bioinformatics
Authors: Ying-Ying Zhang and Pu-Feng DuThe essentiality of a gene can be defined at different levels and is context-dependent. Essential protein-coding genes have been well studied. However, the essentiality of non-coding genes is not well characterized. Although experimental technologies, like CRISPR-Cas9, can provide insights into the essentiality of non-coding regions of the genome, scoring the essentiality of noncoding genes in different contexts is still challen Read More
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Enhanced Moth-flame Optimizer with Quasi-Reflection and Refraction Learning with Application to Image Segmentation and Medical Diagnosis
Authors: Jianfu Xia, Zhennao Cai, Ali A. Heidari, Yinghai Ye, Huiling Chen and Zhifang PanBackground: Moth-flame optimization will meet the premature and stagnation phenomenon when encountering difficult optimization tasks. Objective: This paper presented a quasi-reflection moth-flame optimization algorithm with refraction learning called QRMFO to strengthen the property of ordinary MFO and apply it in various application fields to overcome shortcomings. Methods: In the proposed QRMFO, quasi-r Read More
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Efficacy Screening of Prospective Anti-allergic Drug Candidates: An In silico Study
Authors: Anubhab Laha, Aniket Sarkar, Priyanka Chakraborty, Anindya S. Panja and Rajib BandopadhyayBackground: Due to the rapid rise of allergies, anti-allergy medications are commonly being utilised to reduce inflammation; however, allergen-specific inhibitors may also be utilised. Objective: Our in silico study is aimed at finding out a promising anti-allergic compound that can act against a wide range of allergens. Methods: The inhibitory efficacies of potential anti-allergic compounds were investigated by ADMET studies an Read More
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voomSOM: voom-based Self-Organizing Maps for Clustering RNASequencing Data
Authors: Ahu Cephe, Necla Koçhan, Gözde Ertürk Zararsız, Vahap Eldem, Erdal Coşgun, Erdem Karabulut and Gökmen ZararsızBackground: Due to overdispersion in the RNA-Seq data and its discrete structure, clustering samples based on gene expression profiles remains a challenging problem, and several clustering approaches have been developed so far. However, there is no “gold standard” strategy for clustering RNA-Seq data, so alternative approaches are needed. Objective: In this study, we presented a new clustering approach, which incorpora Read More
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Bioinformatics Study of the DNA and RNA Viruses Infecting Plants and Bacteria that Could Potentially Affect Animals and Humans
Background: From the existing knowledge of viruses, those infecting plants and bacteria and affecting animals are particularly interesting. This is because such viruses have an ability to vertically transmit to other species, including humans, and therefore could represent a public health issue of significant proportions. Objective: This study aims to bioinformatically characterize the proteins from the DNA and RNA viruses capable Read More
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SNP-based Computational Analysis Reveals Recombination-associated Genome Evolution in Humans
Authors: Qiguo Zhang and Guoqing LiuBackground: Meiotic recombination is an important source of genetic variation, but how recombination shapes the genome is not clearly understood yet. Objective: Here, we investigate the roles of recombination on human genome evolution from two aspects: How does recombination shape single nucleotide polymorphism (SNP)-related genomic variation features? Whether recombination drives genome Read More
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Volumes & issues
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Volume 20 (2025)
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Volume 19 (2024)
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Volume 18 (2023)
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Volume 17 (2022)
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Volume 16 (2021)
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Volume 15 (2020)
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Volume 14 (2019)
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Volume 13 (2018)
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Volume 12 (2017)
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Volume 11 (2016)
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Volume 10 (2015)
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Volume 9 (2014)
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Volume 8 (2013)
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Volume 7 (2012)
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Volume 6 (2011)
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Volume 5 (2010)
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Volume 4 (2009)
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Volume 3 (2008)
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Volume 2 (2007)
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Volume 1 (2006)
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