starfish: scalable pipelines for image-based transcriptomics-Reference-Cited by-同舟云学术

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starfish: scalable pipelines for image-based transcriptomics

Published:2021-05-04 Issue:61 Volume:6 Page:2440
ISSN:2475-9066
Container-title:Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Axelrod Shannon,Cai Matthew^ORCID,Carr Ambrose^ORCID,Freeman Jeremy^ORCID,Ganguli Deep,Kiggins Justin^ORCID,Long Brian^ORCID,Tung Tony,Yamauchi Kevin^ORCID

Publisher

The Open Journal

Link

https://joss.theoj.org/papers/10.21105/joss.02440.pdf

Reference17 articles.

1. Comprehensive Integration of Single-Cell Data

2. Dynamics and Spatial Genomics of the Nascent Transcriptome by Intron seqFISH

3. Orchestrating high-throughput genomic analysis with Bioconductor

4. SCANPY: large-scale single-cell gene expression data analysis

5. High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Open-source, high-throughput targeted in situ transcriptomics for developmental and tissue biology;Development;2024-08-15

2. SPArrOW: a flexible, interactive and scalable pipeline for spatial transcriptomics analysis;2024-07-06

3. Specialized signaling centers direct cell fate and spatial organization in a limb organoid model;2024-07-03

4. BirthSeq, a new method to isolate and analyze dated cells in different vertebrates;Development;2024-07-01

5. Sopa: a technology-invariant pipeline for analyses of image-based spatial omics;Nature Communications;2024-06-11

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