SEQUIN is an R/Shiny framework for rapid and reproducible analysis of RNA-seq data Article Swipe
Claire Weber
,
Marissa B. Hirst
,
Ben Ernest
,
Nicholas J. Schaub
,
Kelli M. Wilson
,
Ke Wang
,
Hannah M. Baskir
,
Pei‐Hsuan Chu
,
Carlos A. Tristan
,
Ilyas Singeç
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.crmeth.2023.100420
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.crmeth.2023.100420
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.crmeth.2023.100420
- OA Status
- gold
- Cited By
- 7
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4323310406
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4323310406Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.crmeth.2023.100420Digital Object Identifier
- Title
-
SEQUIN is an R/Shiny framework for rapid and reproducible analysis of RNA-seq dataWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-03-01Full publication date if available
- Authors
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Claire Weber, Marissa B. Hirst, Ben Ernest, Nicholas J. Schaub, Kelli M. Wilson, Ke Wang, Hannah M. Baskir, Pei‐Hsuan Chu, Carlos A. Tristan, Ilyas SingeçList of authors in order
- Landing page
-
https://doi.org/10.1016/j.crmeth.2023.100420Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.crmeth.2023.100420Direct OA link when available
- Concepts
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Upload, Benchmarking, Computer science, Visualization, RNA-Seq, Computational biology, Set (abstract data type), Data set, Throughput, Transcriptome, Data mining, Gene, Biology, Gene expression, World Wide Web, Artificial intelligence, Genetics, Operating system, Programming language, Marketing, Business, WirelessTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 3, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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