Searching journal content for articles similar to Cooper et al. 16 (1): 1.

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  1. ...on a comprehensive scale. We address this by employing a factor-agnostic, reverse-genetics approach that uses MNase-seq to capture -wide TF and nucleosome occupancies in response to the individual deletion of 201 transcriptional regulators in Saccharomyces cerevisiae, thereby assaying nearly 1 million mutant...
  2. ...↵11 These authors contributed equally to this work. Corresponding authors: pavlopoulos@fleming.gr, izg5139@psu.eduAbstractG-quadruplex DNA structures exhibit a profound influence on essential biological processes, including transcription, replication, telomere maintenance, and genomic stability...
  3. ...,000 significant drift-CpGs, which segregated into positive and negative drift categories with distinct genomic enrichments, suggesting divergent underlying biological mechanisms. Integration with single-cell RNA sequencing revealed that drift-associated CpGs exert direction-specific transcriptional effects...
  4. ...sequences and their association with expression quantitative trait loci (eQTLs) to form the most comprehensive resource of this type, accessible through the UCSC Genome Browser. If your GOI and/or candidate TF are known to be expressed in human cancer, two useful tools that are relevant are DepMap, which...
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  5. ...the advantages of ConvNeXt-based models in predicting high-resolution chromatin accessibility and regulatory effects of genetic variants. By combining ConvNeXt blocks as genomic feature extractors with CNNs, LSTMs, dilated CNNs, and transformers, we established a comprehensive framework of sequence...
  6. ...Cell type–specific gene regulatory atlas prioritizes drug targets and repurposable medicines in Alzheimer's disease Yunxiao Ren1,2, Ming Hu3,4, Yang E. Li5, Andrew A. Pieper6,7,8,9,10,11, Jeffrey Cummings12 and Feixiong Cheng1,2,4,13 1Cleveland Clinic Genome Center, Cleveland Clinic Research...
  7. ...to high dimensionality, batch effects, dropout, and transcriptional noise (Lopez et al. 2018); therefore, scRNA-seq data analysis methods must address the inherent variability and noise in these data. This is especially important when evaluating cell states and programs through gene signature scoring...
  8. ...used to construct the EnDeep4mC framework and then present a comprehensive evaluation of its performance and biological findings.MethodsBenchmark data setsA variety of benchmark data sets have been proposed in the field of 4mC site prediction. Most of them before 2021 were designed for ML models...
  9. ...Sophia N. Lee1, Erin C. Banda2,5, Lu Qiao1,5, Sarah L. Thompson1, Karan Singh3, Ryan A. Hagenson1, Teresa Davoli3, Stefan F. Pinter2,4 and Jason M. Sheltzer1 1Yale University School of Medicine, New Haven, Connecticut 06510, USA; 2Department of Genetics and Genome Sciences, UCONN Health, University...
  10. ...of those tools in our analysis to produce a comprehensive catalog of genetic variation with a single run.Indeed, one important milestone missing in genomics and genetics is the simultaneous detection of all variant types. Current genetic studies often focus on either SNVs/indels or other forms of variation...
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