Literature DB >> 30875427

ST viewer: a tool for analysis and visualization of spatial transcriptomics datasets.

José Fernández Navarro1, Joakim Lundeberg1, Patrik L Ståhl1.   

Abstract

MOTIVATION: Spatial Transcriptomics (ST) is a technique that combines high-resolution imaging with spatially resolved transcriptome-wide sequencing. This novel type of data opens up many possibilities for analysis and visualization, most of which are either not available with standard tools or too complex for normal users.
RESULTS: Here, we present a tool, ST Viewer, which allows real-time interaction, analysis and visualization of Spatial Transcriptomics datasets through a seamless and smooth user interface.
AVAILABILITY AND IMPLEMENTATION: The ST Viewer is open source under a MIT license and it is available at https://github.com/SpatialTranscriptomicsResearch/st_viewer. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Year:  2019        PMID: 30875427     DOI: 10.1093/bioinformatics/bty714

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  7 in total

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Journal:  J Exp Clin Cancer Res       Date:  2022-05-19

2.  SpatialCPie: an R/Bioconductor package for spatial transcriptomics cluster evaluation.

Authors:  Joseph Bergenstråhle; Ludvig Bergenstråhle; Joakim Lundeberg
Journal:  BMC Bioinformatics       Date:  2020-04-29       Impact factor: 3.169

Review 3.  Unravelling Prostate Cancer Heterogeneity Using Spatial Approaches to Lipidomics and Transcriptomics.

Authors:  Shadrack M Mutuku; Xander Spotbeen; Paul J Trim; Marten F Snel; Lisa M Butler; Johannes V Swinnen
Journal:  Cancers (Basel)       Date:  2022-03-27       Impact factor: 6.639

4.  Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones.

Authors:  Maja Marklund; Niklas Schultz; Stefanie Friedrich; Emelie Berglund; Firas Tarish; Anna Tanoglidi; Yao Liu; Ludvig Bergenstråhle; Andrew Erickson; Thomas Helleday; Alastair D Lamb; Erik Sonnhammer; Joakim Lundeberg
Journal:  Nat Commun       Date:  2022-09-17       Impact factor: 17.694

Review 5.  Redefining Tumor-Associated Macrophage Subpopulations and Functions in the Tumor Microenvironment.

Authors:  Kaiyue Wu; Kangjia Lin; Xiaoyan Li; Xiangliang Yuan; Peiqing Xu; Peihua Ni; Dakang Xu
Journal:  Front Immunol       Date:  2020-08-04       Impact factor: 7.561

6.  Giotto: a toolbox for integrative analysis and visualization of spatial expression data.

Authors:  Ruben Dries; Qian Zhu; Rui Dong; Chee-Huat Linus Eng; Huipeng Li; Kan Liu; Yuntian Fu; Tianxiao Zhao; Arpan Sarkar; Feng Bao; Rani E George; Nico Pierson; Long Cai; Guo-Cheng Yuan
Journal:  Genome Biol       Date:  2021-03-08       Impact factor: 17.906

7.  Matisse: a MATLAB-based analysis toolbox for in situ sequencing expression maps.

Authors:  Sergio Marco Salas; Daniel Gyllborg; Christoffer Mattsson Langseth; Mats Nilsson
Journal:  BMC Bioinformatics       Date:  2021-07-31       Impact factor: 3.169

  7 in total

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