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Sasquatch Software Corporation dnase-seq data set
Dnase Seq Data Set, supplied by Sasquatch Software Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dnase-seq+data+set/dnase+seq+data+set/pmc05630036-148-13-0
Average 90 stars, based on 1 article reviews
dnase-seq data set - by Bioz Stars, 2026-10
90/100 stars

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Related Articles

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Article Title: Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints
Article Snippet: However, if such resources are limited, as is most often the case, Sasquatch can yield comparable results from a single DNase-seq data set.

Article Title: Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints
Article Snippet: Sasquatch only requires a single DNase-seq data set per cell type, from any genotype, and produces consistent predictions from data generated by different experimental procedures and at different sequence depths.

Article Title: Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints
Article Snippet: Sasquatch provides a relatively simple and yet informative approach, requiring only a single DNase-seq data set from the appropriate cell type.

Sequencing:

Article Title: Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints
Article Snippet: However, if such resources are limited, as is most often the case, Sasquatch can yield comparable results from a single DNase-seq data set.

Article Title: Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints
Article Snippet: Sasquatch only requires a single DNase-seq data set per cell type, from any genotype, and produces consistent predictions from data generated by different experimental procedures and at different sequence depths.

Article Title: Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints
Article Snippet: Sasquatch provides a relatively simple and yet informative approach, requiring only a single DNase-seq data set from the appropriate cell type.



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