Frontiers in Bioinformatics最新文献_第3页

MetaWin 3: open-source software for meta-analysis MetaWin 3：用于荟萃分析的开源软件

Frontiers in Bioinformatics Pub Date : 2024-02-08 DOI: 10.3389/fbinf.2024.1305969

Michael S. Rosenberg

引用次数: 0

Editorial: Phasor analysis for fluorescence lifetime data 社论：荧光寿命数据的相位分析

Frontiers in Bioinformatics Pub Date : 2024-02-06 DOI: 10.3389/fbinf.2024.1375480

Ruofan Cao, Yide Zhang, Jessica Houston

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MRSLpred—a hybrid approach for predicting multi-label subcellular localization of mRNA at the genome scale MRSLpred--在基因组尺度上预测 mRNA 多标记亚细胞定位的混合方法

Frontiers in Bioinformatics Pub Date : 2024-02-06 DOI: 10.3389/fbinf.2024.1341479

S. Choudhury, Nisha Bajiya, Sumeet Patiyal, G. Raghava

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引用次数: 0

Editorial: Phasor analysis for fluorescence lifetime data 社论：荧光寿命数据的相位分析

Frontiers in Bioinformatics Pub Date : 2024-02-06 DOI: 10.3389/fbinf.2024.1375480

Ruofan Cao, Yide Zhang, Jessica Houston

引用次数: 0

MRSLpred—a hybrid approach for predicting multi-label subcellular localization of mRNA at the genome scale MRSLpred--在基因组尺度上预测 mRNA 多标记亚细胞定位的混合方法

Frontiers in Bioinformatics Pub Date : 2024-02-06 DOI: 10.3389/fbinf.2024.1341479

S. Choudhury, Nisha Bajiya, Sumeet Patiyal, G. Raghava

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引用次数: 0

Snowflake: visualizing microbiome abundance tables as multivariate bipartite graphs 雪花：将微生物组丰度表可视化为多变量双峰图

Frontiers in Bioinformatics Pub Date : 2024-02-05 DOI: 10.3389/fbinf.2024.1331043

Jannes Peeters, Daniël M. Bot, Gustavo Rovelo Ruiz, Jan Aerts

{"title":"Snowflake: visualizing microbiome abundance tables as multivariate bipartite graphs","authors":"Jannes Peeters, Daniël M. Bot, Gustavo Rovelo Ruiz, Jan Aerts","doi":"10.3389/fbinf.2024.1331043","DOIUrl":"https://doi.org/10.3389/fbinf.2024.1331043","url":null,"abstract":"Current visualizations in microbiome research rely on aggregations in taxonomic classifications or do not show less abundant taxa. We introduce Snowflake: a new visualization method that creates a clear overview of the microbiome composition in collected samples without losing any information due to classification or neglecting less abundant reads. Snowflake displays every observed OTU/ASV in the microbiome abundance table and provides a solution to include the data’s hierarchical structure and additional information obtained from downstream analysis (e.g., alpha- and beta-diversity) and metadata. Based on the value-driven ICE-T evaluation methodology, Snowflake was positively received. Experts in microbiome research found the visualizations to be user-friendly and detailed and liked the possibility of including and relating additional information to the microbiome’s composition. Exploring the topological structure of the microbiome abundance table allows them to quickly identify which taxa are unique to specific samples and which are shared among multiple samples (i.e., separating sample-specific taxa from the core microbiome), and see the compositional differences between samples. An R package for constructing and visualizing Snowflake microbiome composition graphs is available at https://gitlab.com/vda-lab/snowflake.","PeriodicalId":507586,"journal":{"name":"Frontiers in Bioinformatics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139865363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Snowflake: visualizing microbiome abundance tables as multivariate bipartite graphs 雪花：将微生物组丰度表可视化为多变量双峰图

Frontiers in Bioinformatics Pub Date : 2024-02-05 DOI: 10.3389/fbinf.2024.1331043

Jannes Peeters, Daniël M. Bot, Gustavo Rovelo Ruiz, Jan Aerts

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引用次数: 0