Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects

Research article (Cell Reports Methods, 2022) · cited 18× · AI/ML
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Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects

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Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects is a scholarly article[1].

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  • Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects. Retrieved May 24, 2026, from https://4ort.xyz/entity/normalization-benchmark-of-atac-seq-datasets-shows-the-importance-of-accounting-for-gc-content-effects
MLA “Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/normalization-benchmark-of-atac-seq-datasets-shows-the-importance-of-accounting-for-gc-content-effects.
BibTeX @misc{4ortxyz_normalization-benchmark-of-atac-seq-datasets-shows-the-importance-of-accounting-for-gc-content-effects_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects}}, year = {2026}, url = {https://4ort.xyz/entity/normalization-benchmark-of-atac-seq-datasets-shows-the-importance-of-accounting-for-gc-content-effects}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Normalization benchmark of ATAC-seq datasets shows the importance of accounting for GC-content effects — https://4ort.xyz/entity/normalization-benchmark-of-atac-seq-datasets-shows-the-importance-of-accounting-for-gc-content-effects (retrieved 2026-05-24)

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