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- Volume 18, Issue 5, 2023
Current Bioinformatics - Volume 18, Issue 5, 2023
Volume 18, Issue 5, 2023
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Genomic Characterization of Emerging SARS-CoV-2: A Systematic Review
Authors: Shikha Sharma, Rinkle Rani and Nidhi KalraIntroduction: Severe Acute Respiratory Syndrome Coronavirus – 2, SARS-CoV-2, is a wellknown virus for its fatal infectivity and widespread impact on the health of the worldwide population. Genome sequencing is critical in understanding the virus’s behavior, origin, and genetic variants. This article conducts an extensive literature review on the SARS-CoV-2 genome, including its Genome Structure, Genome Analysis, Evolution, Read More
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Quality Control of Gene Expression Data Allows Accurate Quantification of Differentially Expressed Biological Pathways
Authors: Ellen Reed, Enrico Ferrari and Mikhail SolovievBackground: Gene expression signatures provide a promising diagnostic tool for many diseases, including cancer. However, there remain multiple issues related to the quality of gene expression data, which may impede the analysis and interpretation of differential gene expression in cancer. Objective: We aimed to address existing issues related to the quality of gene expression data and to devise improved quality control (QC Read More
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Trimming and Decontamination of Metagenomic Data can Significantly Impact Assembly and Binning Metrics, Phylogenomic and Functional Analysis
Authors: Jason M. Whitham and Amy M. GrundenBackground: Investigators using metagenomic sequencing to study microbiomes often trim and decontaminate reads without knowing their effect on downstream analyses. Objective: This study was designed to evaluate the impacts JGI trimming and decontamination procedures have on assembly and binning metrics, placement of MAGs into species trees, and functional profiles of MAGs extracted from complex rhizosphe Read More
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Advanced Multivariable Statistical Analysis Interactive Tool for Handling Missing Data and Confounding Covariates for Label-free LC-MS Proteomics Experiments
Background: Careful consideration is required for detecting significant features (proteins or peptides) in LC-MS proteomics studies using multivariable regression analyses. In proteomics data, missing values can arise due to random errors, bad samples, features below the detection limit in specific samples, etc. Further, expression data are always prone to heterogeneity due to technical/biological reasons. Missing val Read More
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Development and Study of a Knowledge Graph for Retrieving the Relationship Between BVDV and Related Genes
Authors: Jia Lv, Yunli Bai, Lu Chang, Yingfei Li, Rulin Wang and Weiguang ZhouBackground: Bovine viral diarrhea virus (BVDV) can cause diarrhea, abortion, and immunosuppression in cattle, imposing huge economic losses for the global cattle industry. The pathogenic and immune mechanisms of BVDV remain elusive. The development of a BVDV-gene knowledge base can provide clues to reveal the interaction of BVDV with host cells. However, the traditional method of manually establishing a knowledge ba 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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