Searching journal content for articles similar to Xu et al. 34 (7): 1052.

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  1. ...dimension of this challenge. This study aims to comprehensively characterize the landscape of HER2 alternative splicing isoforms in breast cancer and to investigate their potential role in mediating resistance to anti-HER2 therapies, particularly ADCs. By employing long-read sequencing technology...
  2. ...of alternative splicing patterns and histone post-translational modifications (hPTMs) across mouse brain development finds that enrichment of chromatin modifications correlates with, and predicts, alternative exon inclusion (Hu et al. 2017, 2020; Xu et al. 2017, 2018). Alternative splicing of neurexin I (Nrxn1...
  3. ...-10-62733394. 14 Email: huxx@cau.edu.cn. 15 Yuzhe Wang, State Key Laboratory of Animal Biotech Breeding, College of Biological 16 Sciences, China Agricultural University, Beijing, 100193, China. Phone +86-10-62731314. 17 Email: yuzhe891@cau.edu.cn. 18 19 Abstract 20 Predicting phenotypes from genomic mutations...
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  4. ...the sequence of the underlying repeat unit. Although several methods exist, they often exhibit low accuracy when the repeat unit length increases or the number of copies is low. Furthermore, methods capable of handling highly mutated sequences remain scarce, highlighting a significant opportunity...
  5. ...by integrating the SpliceAI alternate score for splice site gain (i.e., the final score of new or cryptic splice site after a variant has been incorporated into the reference sequence) to improve prediction of partial exon deletion and partial intron retention. This updated algorithm positively predicts variants...
  6. ...sequences. Unfortunately, it is hard to tell if an alignment is likely to exist by chance. Also, the precise alignment of related regions is uncertain. One alignment does not hold all evidence that they are related. We should consider alternative alignments too. This is rarely done, because we lack a simple...
  7. ...alternative for estimating changes in chromatin accessibility induced by the genetic variants in a cell type–specific manner.Numerous deep learning approaches have been proposed to predict chromatin accessibility from DNA sequence. Earlier methods (Zhou and Troyanskaya 2015; Kelley et al. 2016; Quang and Xie...
  8. ...and predictors based on DEGs identified in our study and across multiple published data sets, which predict disease across SOD1 mutations and species.DiscussionWe conducted RNA sequencing analysis of MNs displaying differential vulnerability to degeneration in ALS to unveil mechanisms of protection...
  9. ...genomics and phylogeny analyses identified regions of organismal s that show patterns of accelerated evolution (Ferris et al. 2018; Foley et al. 2023). The usage of mutation rate patterns, species sequence alignments, and the identification of highly conserved regions can provide insights into phenotypic...
  10. ...To comprehensively profile alternative polyadenylation across pig tissues, we analyzed 10x Genomics single-nucleus RNA sequencing (10x snRNA-seq) data from our previous study as a preprint on bioRxiv (Chen et al. 2023), which identified 261 cell subtypes spanning 19 distinct pig tissues (Supplemental Table S1...
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