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Showing 1-20 of 5,467 results
  1. cytoviewer: an R/Bioconductor package for interactive visualization and exploration of highly multiplexed imaging data

    Background

    Highly multiplexed imaging enables single-cell-resolved detection of numerous biological molecules in their spatial tissue context....

    Lasse Meyer, Nils Eling, Bernd Bodenmiller in BMC Bioinformatics
    Article Open access 03 January 2024
  2. spatialLIBD: an R/Bioconductor package to visualize spatially-resolved transcriptomics data

    Background

    Spatially-resolved transcriptomics has now enabled the quantification of high-throughput and transcriptome-wide gene expression in intact...

    Brenda Pardo, Abby Spangler, ... Leonardo Collado-Torres in BMC Genomics
    Article Open access 10 June 2022
  3. DNAfusion: an R/Bioconductor package for increased sensitivity of detecting gene fusions in liquid biopsies

    Background

    EML4-ALK gene fusions are oncogenic drivers in non-small cell lung cancer (NSCLC), and liquid biopsies containing EML4-ALK fragments can...

    Christoffer Trier Maansson, Emma Roger Andersen, ... Boe Sandahl Sorensen in BMC Bioinformatics
    Article Open access 04 April 2023
  4. CytoPipeline and CytoPipelineGUI: a Bioconductor R package suite for building and visualizing automated pre-processing pipelines for flow cytometry data

    Background

    With the increase of the dimensionality in flow cytometry data over the past years, there is a growing need to replace or complement...

    Philippe Hauchamps, Babak Bayat, ... Laurent Gatto in BMC Bioinformatics
    Article Open access 20 February 2024
  5. rprimer: an R/bioconductor package for design of degenerate oligos for sequence variable viruses

    Background

    This paper presents a new R/Bioconductor package, rprimer, for design of degenerate oligos and PCR assays for sequence variable viruses. A...

    Sofia Persson, Christina Larsson, ... Patrik Ellström in BMC Bioinformatics
    Article Open access 18 June 2022
  6. mirTarRnaSeq: An R/Bioconductor Statistical Package for miRNA-mRNA Target Identification and Interaction Analysis

    We introduce mirTarRnaSeq , an R/Bioconductor package for quantitative assessment of miRNA-mRNA relationships within sample cohorts. mirTarRnaSeq is a...

    Mercedeh Movassagh, Sarah U. Morton, ... Joseph N. Paulson in BMC Genomics
    Article Open access 13 June 2022
  7. FindIT2: an R/Bioconductor package to identify influential transcription factor and targets based on multi-omics data

    Background

    Transcription factors (TFs) play central roles in regulating gene expression. With the rapid growth in the use of high-throughput...

    Guan-Dong Shang, Zhou-Geng Xu, ... Jia-Wei Wang in BMC Genomics
    Article Open access 07 April 2022
  8. GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data

    Background

    The interpretation of results from transcriptome profiling experiments via RNA sequencing (RNA-seq) can be a complex task, where the...

    Federico Marini, Annekathrin Ludt, ... Konstantin Strauch in BMC Bioinformatics
    Article Open access 23 December 2021
  9. BiocMAP: a Bioconductor-friendly, GPU-accelerated pipeline for bisulfite-sequencing data

    Background

    Bisulfite sequencing is a powerful tool for profiling genomic methylation, an epigenetic modification critical in the understanding of...

    Nicholas J. Eagles, Richard Wilton, ... Leonardo Collado-Torres in BMC Bioinformatics
    Article Open access 13 September 2023
  10. BioNERO: an all-in-one R/Bioconductor package for comprehensive and easy biological network reconstruction

    Currently, standard network analysis workflows rely on many different packages, often requiring users to have a solid statistics and programming...

    Fabricio Almeida-Silva, Thiago M. Venancio in Functional & Integrative Genomics
    Article 17 November 2021
  11. ideal: an R/Bioconductor package for interactive differential expression analysis

    Background

    RNA sequencing (RNA-seq) is an ever increasingly popular tool for transcriptome profiling. A key point to make the best use of the...

    Federico Marini, Jan Linke, Harald Binder in BMC Bioinformatics
    Article Open access 09 December 2020
  12. RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor

    Background

    Heterogeneous omics data, increasingly collected through high-throughput technologies, can contain hidden answers to very important and...

    Simone Pallotta, Silvia Cascianelli, Marco Masseroli in BMC Bioinformatics
    Article Open access 07 April 2022
  13. GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package

    Background

    Network-based analysis of gene expression through co-expression networks can be used to investigate modular relationships occurring between...

    Gwenaëlle G. Lemoine, Marie-Pier Scott-Boyer, ... Arnaud Droit in BMC Bioinformatics
    Article Open access 25 May 2021
  14. ReUseData: an R/Bioconductor tool for reusable and reproducible genomic data management

    Background

    The increasing volume and complexity of genomic data pose significant challenges for effective data management and reuse. Public genomic...

    Qian Liu, Qiang Hu, ... Martin Morgan in BMC Bioinformatics
    Article Open access 03 January 2024
  15. Chemical map-based prediction of nucleosome positioning using the Bioconductor package nuCpos

    Background

    Assessing the nucleosome-forming potential of specific DNA sequences is important for understanding complex chromatin organization. Methods...

    Hiroaki Kato, Mitsuhiro Shimizu, Takeshi Urano in BMC Bioinformatics
    Article Open access 13 June 2021
  16. CytoTree: an R/Bioconductor package for analysis and visualization of flow and mass cytometry data

    Background

    The rapidly increasing dimensionality and throughput of flow and mass cytometry data necessitate new bioinformatics tools for analysis and...

    Yuting Dai, Aining Xu, ... **yan Huang in BMC Bioinformatics
    Article Open access 22 March 2021
  17. GenomicDistributions: fast analysis of genomic intervals with Bioconductor

    Background

    Epigenome analysis relies on defined sets of genomic regions output by widely used assays such as ChIP-seq and ATAC-seq. Statistical...

    Kristyna Kupkova, Jose Verdezoto Mosquera, ... Nathan C. Sheffield in BMC Genomics
    Article Open access 12 April 2022
  18. geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO)

    Gene expression profiling is a useful way to measure the activity of genes in molecular biology and, because of its effectiveness, researchers have...
    Davide Chicco in Microarray Data Analysis
    Protocol 2022
  19. CeTF: an R/Bioconductor package for transcription factor co-expression networks using regulatory impact factors (RIF) and partial correlation and information (PCIT) analysis

    Background

    Finding meaningful gene-gene interaction and the main Transcription Factors (TFs) in co-expression networks is one of the most important...

    Carlos Alberto Oliveira de Biagi Jr, Ricardo Perecin Nociti, ... Wilson Araújo Silva Jr in BMC Genomics
    Article Open access 20 August 2021
  20. PRANA: an R package for differential co-expression network analysis with the presence of additional covariates

    Background

    Advances in sequencing technology and cost reduction have enabled an emergence of various statistical methods used in RNA-sequencing data,...

    Seungjun Ahn, Somnath Datta in BMC Genomics
    Article Open access 16 November 2023
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