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Showing content from https://tidyomics.github.io/tidy-ranges-tutorial/gene-ranges-in-tximeta.html below:

Chapter 10 Gene ranges in tximeta

References

Alasoo, Kaur, Julia Rodrigues, Subhankar Mukhopadhyay, Andrew J. Knights, Alice L. Mann, Kousik Kundu, Christine Hale, Gordon Dougan, Daniel J. Gaffney, and H. I. P. S. C. I. Consortium. 2018.

“Shared Genetic Effects on Chromatin and Gene Expression Indicate a Role for Enhancer Priming in Immune Response.” Nature Genetics

50 (3): 424–31.

https://doi.org/10.1038/s41588-018-0046-7

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Kramer, Nicole E, Eric S Davis, Craig D Wenger, Erika M Deoudes, Sarah M Parker, Michael I Love, and Douglas H Phanstiel. 2022.

Plotgardener: cultivating precise multi-panel figures in R.” Bioinformatics

38 (7): 2042–45.

https://doi.org/10.1093/bioinformatics/btac057

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Love, Michael I., Charlotte Soneson, Peter F. Hickey, Lisa K. Johnson, N. Tessa Pierce, Lori Shepherd, Martin Morgan, and Rob Patro. 2020.

Tximeta: Reference sequence checksums for provenance identification in RNA-seq.” PLOS Computational Biology

16: e1007664.

https://doi.org/10.1371/journal.pcbi.1007664

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Patro, Rob, Geet Duggal, Michael I. Love, Rafael A. Irizarry, and Carl Kingsford. 2017.

“Salmon Provides Fast and Bias-Aware Quantification of Transcript Expression.” Nature Methods

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https://doi.org/10.1038/nmeth.4197

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Segers, Alexandre, Jeroen Gilis, Mattias Van Heetvelde, Elfride De Baere, and Lieven Clement. 2023.

“Juggling Offsets Unlocks RNA-Seq Tools for Fast Scalable Differential Usage, Aberrant Splicing and Expression Analyses.” bioRxiv

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https://doi.org/10.1101/2023.06.29.547014

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Soneson, Charlotte, Michael I. Love, and Mark Robinson. 2015.

Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences.” F1000Research

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