Searching journal content for articles similar to Snitkin et al. 23 (7): 1155.

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  1. ..., Barcelona 08034, Spain; 3Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, California 94720, USA; 4Genomics Institute, University of California, Santa Cruz, Santa Cruz, California 95060, USA; 5Institute for Computational and Mathematical Engineering...
  2. ..., et al. 2010. Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines. Nature 465: 627–631. doi:10.1038/nature08800 ↵Benson JM, Poland JA, Benson BM, Stromberg EL, Nelson RJ. 2015. Resistance to gray leaf spot of maize: genetic architecture and mechanisms elucidated...
  3. ...selected124 based on the imputed HEST-1k data Jaume et al (2024) to better predict survival or125 disease states of patients from The Cancer Genome Atlas (TCGA) database Wein-126 stein et al (2013). Our results show the strong capacity of spRefine in transferring127 the learned knowledge to biomedical data...
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  4. ...provides novel insights into the genomic regulatory landscape underlying antiviral 33 immunity in a farmed fish with a complex . 34 Introduction 35 The innate immune response to viral infection, which is mainly based on the type I interferon 36 (type I IFN) pathway is crucial to both disease progression...
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  5. ...of the ERBB2 receptor (also known as HER2) and hormone receptors. Targeted therapies for HER2-positive BC, such as trastuzumab, antibody–drug conjugates (ADCs) and tyrosine kinase inhibitors, have improved patient outcomes, but primary/acquired resistance still poses challenges that can limit treatments’ long...
  6. ...variants, and deeper insights into the interplay between epigenetics and genomic variation. This mini-review provides a comprehensive overview of the latest developments in long-read DNA sequencing analysis, encompassing reference-based and de novo assembly approaches. We explore the entire workflow, from...
  7. ...the relationship between the input (genotype) and 76 output (predictive phenotype) because of their “black box” nature (Novakovsky et al. 2023). 77 For genomics researchers, interpretative information, which is often lacking, can be more 78 valuable than predictions themselves because it can provide new insights...
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  8. ...features of the original tumors, including genetic intratumor heterogeneity (ITH), and provide a renewable source of living cells for analysis (Bolck et al. 2021). Applying long-read scRNA-seq to patient-derived organoids (PDOs) can reveal important insights into the transcriptional landscapes...
  9. ...Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; 3State Key Laboratory of Seed Innovation, Institute of Genetics and Developmental Biology, Chinese Academy...
  10. ...al. 2011).To assign genes potentially regulated by ERBS, we used publicly available data correlating ATAC-seq peaks with putative target genes in BRCA patients (Corces et al. 2018). ATAC-seq peaks were overlapped with ERBS using GenomicRanges, allowing gene assignment to specific ERBS.To determine...
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