Showing 601 - 620 results of 10,378 for search '"sequencing"', query time: 0.10s Refine Results
  1. 601
  2. 602

    SequenceCraft: machine learning-based resource for exploratory analysis of RNA-cleaving deoxyribozymes by M. Eremeyeva, Y. Din, N. Shirokii, N. Serov

    Published 2025-01-01
    “…Abstract Background Deoxyribozymes or DNAzymes represent artificial short DNA sequences bearing many catalytic properties. In particular, DNAzymes able to cleave RNA sequences have a huge potential in gene therapy and sequence-specific analytic detection of disease markers. …”
    Get full text
    Article
  3. 603

    Pre-T cell receptor-α immunodeficiency detected exclusively using whole genome sequencing by Daniele Merico, Nigel Sharfe, Harjit Dadi, Bhooma Thiruvahindrapuram, Jill de Rijke, Zakia Dahi, Mehdi Zarrei, Abdulrahman Al Ghamdi, Azhar Al Shaqaq, Linda Vong, Stephen W. Scherer, Chaim M. Roifman

    Published 2025-01-01
    “…In this study, we describe the role of whole genome sequencing (WGS) in providing a definitive diagnosis for a child with T cell deficiency, where targeted panel sequencing of SCID genes and whole exome sequencing had failed. …”
    Get full text
    Article
  4. 604
  5. 605
  6. 606
  7. 607
  8. 608
  9. 609
  10. 610
  11. 611

    Novel Likely Pathogenic Variants Identified by Panel-Based Exome Sequencing in Congenital Cataract Patients by Doudou Chen, Tao Yang, Siquan Zhu

    Published 2021-01-01
    “…To identify likely pathogenic variants in three families with congenital cataracts via panel-based exome sequencing. Methods. A panel containing 153 genes associated with congenital cataracts was designed. …”
    Get full text
    Article
  12. 612

    Comparative evaluation of SNVs, indels, and structural variations detected with short- and long-read sequencing data by Shunichi Kosugi, Chikashi Terao

    Published 2024-04-01
    “…Abstract Short- and long-read sequencing technologies are routinely used to detect DNA variants, including SNVs, indels, and structural variations (SVs). …”
    Get full text
    Article
  13. 613
  14. 614

    Identification of novel genetic variants associated with feline cardiomyopathy using targeted next-generation sequencing by Jade Raffle, Jose Novo Matos, Marsha Wallace, Lois Wilkie, Richard J. Piercy, Perry Elliott, David J. Connolly, Virginia Luis Fuentes, Androniki Psifidi

    Published 2025-01-01
    “…DNA was extracted from residual blood, and targeted next-generation sequencing was performed on two separate feline cohorts: an across-breed cohort (23 healthy cats and 21 HCM-affected pedigree or Domestic Shorthair cats), and a within-breed cohort of Birman pedigree cats (14 healthy, 8 HCM-affected, and 6 RCM-affected). …”
    Get full text
    Article
  15. 615
  16. 616

    An Exploration of the Triplet Periodicity in Nucleotide Sequences with a Mature Self-Adaptive Spectral Rotation Approach by Bo Chen, Ping Ji

    Published 2014-01-01
    “…It outputs a random walk, that is, TP walk, in the complex plane for the query sequence. Each step in the walk is corresponding to a position in the sequence and generated from a long-term statistic of the TP in the sequence. …”
    Get full text
    Article
  17. 617
  18. 618
  19. 619

    Global Single-Cell Sequencing Landscape of Adipose Tissue of Different Anatomical Site Origin in Humans by Shixing Gu, Zhenyu Gong, Shuncai Liu, Guohao Lu, Yu Ling, Yanlin Wei, Ting Li, Ronghe Gu, Yongxian Rong, Junjun Li, Hongmian Li

    Published 2023-01-01
    “…Here, we combined single-cell RNA sequencing (scRNA-seq) of leg subcutaneous adipose tissue samples with scRNA-seq data from abdominal subcutaneous adipose tissue, leg subcutaneous adipose tissue, and visceral adipose tissue samples from public databases. …”
    Get full text
    Article
  20. 620

    S‐PLM: Structure‐Aware Protein Language Model via Contrastive Learning Between Sequence and Structure by Duolin Wang, Mahdi Pourmirzaei, Usman L. Abbas, Shuai Zeng, Negin Manshour, Farzaneh Esmaili, Biplab Poudel, Yuexu Jiang, Qing Shao, Jin Chen, Dong Xu

    Published 2025-02-01
    “…The results demonstrate S‐PLM's superior performance over sequence‐only PLMs on all protein clustering and classification tasks, achieving competitiveness comparable to state‐of‐the‐art methods requiring both sequence and structure inputs. …”
    Get full text
    Article