Searching journal content for articles similar to Hanson et al. 28 (8): 1207.

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  1. ..., and interpretable exploration of causal GRNs with prior knowledge and multi-omics data.Gene regulatory networks (GRNs), which encapsulate the complex interactions among transcription factors (TFs), target genes, and various regulatory elements, constitute the core machinery of gene regulation (Levine and Davidson...
  2. ...multi-omics profiling (gene expression and chromatin accessibility) on human and rat muscle samples. We capture type I and type II muscle fiber signatures, which are generally missed by existing single-cell RNA-seq methods. We perform cross-modality and cross-species integrative analyses on 33...
  3. ...Diploid architecture revealed by multi-omic data of hybrid mice Zhijun Han1,2, Kairong Cui3, Katarzyna Placek3, Ni Hong1, Chengqi Lin2, Wei Chen1, Keji Zhao3 and Wenfei Jin1 1Department of Biology, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China; 2Institute of Life...
  4. ..., making it possible to search for a similar function. The richest source of potentially unexpected perturbation-based data comes from correlating genetic variability in candidate regulatory regions with known phenotypes. The GTEx Consortium et al. (2020) has analyzed variations in potential regulatory...
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  5. ....In single-cell transcriptome sequencing, high-resolution quantification of gene expression profiles provides insights into cellular heterogeneity and the molecular underpinnings of tissue phenotype variations (Kalucka et al. 2020; Argelaguet et al. 2021). Analyzing cell type composition using sc...
  6. .... Nonetheless, bacteria offer several unique avenues for research into the process and mechanics of gene birth at a resolution not feasible in other organisms. Both their amenability to experimental evolutionary analysis and their strain-level variation in gene content foster investigations of how noncoding...
  7. ...the functions of gene regulatory networks (GRNs) in shaping cell identity and cell fate is one of the central quests in understanding the mapping from genomic blueprints to phenotypes. Over the past decades, much effort has been devoted to developing statistical and computational methods for inferring GRNs from...
  8. ...to be a promising approach toward modeling the role of genomic variants in cis regulatory logic. In particular, CNNs have already shown great promise in modeling the contribution of promoter genetic variation on mean gene expression levels. Agarwal and Shendure (2020) first introduced their algorithm, Xpresso...
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  9. ...gene expression knockdown phenotype observed.DiscussionMoving from computational predictions to functional evidence of gene regulatory activity remains an important and challenging area of modern genomics. Because there is substantial evidence for tissue-specific gene regulation and evidence...
  10. ...dynamics were revealed for many 30 orthologous Hox genes, notable cross-species differences were identified from 31 pre-ZGA leading up to hatching. This multi-omics investigation provides a novel 32 atlas of non-coding regulatory elements controlling turbot development, with key 33 applications...
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