Searching journal content for articles similar to Sebestyén et al. 28 (9): 1426.

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  1. ...analyses in cancer genomics.The ability of ScisTree2 to analyze a large number of cells may be useful in large-scale cancer genomics analyses. One such analysis is identifying rare cancer subclones, which can drive disease recurrence and therapy resistance. For example, relapse of acute myeloid leukemia...
  2. ...Large-scale analysis of and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks Endre Sebestyén1,5, Babita Singh1,5, Belén Miñana1,2, Amadís Pagès1, Francesca Mateo3, Miguel Angel Pujana3, Juan Valcárcel1,2,4 and Eduardo Eyras1,4 1Universitat Pompeu Fabra, E...
  3. ...(Halo et al. 2021). Eventually, long-read sequencing will become common practice in animal genomics, permanently altering sequencing strategies and analysis techniques while capturing the full spectrum of variation within a single .Large-scale sequencing effortsThe International Dog10K consortium...
  4. ...research focused on understanding the cellular changes in PD-related nigrostriatal pathway. Aging is known to significantly alter transcriptional programs and gene regulatory networks in brain cell types (Mattson and Arumugam 2018; Zhang et al. 2022; Jin et al. 2025). In general, inflammation and cellular...
  5. ...tools enables high-fidelity, large-scale profiling of microsatellites, which may find utility in diverse applications such as lineage tracing, population genetics, ecology, and forensics.Microsatellites, also known as short tandem repeats, are genomic sequences composed of tandem repeats of short (1...
  6. ...tumors from The Cancer Genome Atlas (TCGA) (Fig. 1B; The Cancer Genome Atlas Network 2012). To have groups of clinically and biologically similar tumors and patients, we initially stratified tumors into six specific subgroups based on their HR status (HR+ or HR−) and HER2 expression levels (HER2-high...
  7. ...to large-scale single-cell data sets. We demonstrate NNet’s effectiveness through three case studies on transcription factor activity prediction, early hematopoiesis, and tumor microenvironments. Provided as an R package, NNet offers a novel framework for exploring cellular variation in coexpression...
  8. ...prediction. We build on these data, implementing further filtering steps to remove families with homology with other species, to identify putative SSOGs in the gut microbiome and to study them systematically. By looking for patterns in large-scale comparisons, we attempt to disentangle the evolutionary...
  9. ...-Relate on the UK Biobank and All of Us data sets. On a data set of 200,000 individuals split between two parties, SF-Relate detects 97% of third-degree or closer relatives within 15 h of runtime. Our work enables secure identification of relatives across large-scale genomic data sets.Collaborative studies that aim...
  10. ...aging. These include changes in DNA methylation, histone modifications, chromatin remodeling, and noncoding RNAs. Collectively, such alterations disrupt gene regulatory networks, leading to transcriptional dysregulation, loss of cellular homeostasis, and increased vulnerability to age-related diseases...
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