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  1. ...of Chromosome 8 and restore euploidy in cells derived from an individual with a complex rearrangement of Chromosome 8p. Transcriptomic analysis revealed 361 differentially expressed genes between the proband and the euploid revertant, highlighting genes both within and outside the 8p region that may contribute...
  2. ...embeddings for downstream machine-learning tasks. Much less has been done to examine the embeddings directly, especially analyses of gene sets in embedding spaces. Here, we propose an Algorithm for Network Data Embedding and Similarity (ANDES), a novel best-match approach that can be used with existing gene...
  3. ...et al. 2009) was used to extract uniquely mapped reads and remove PCR duplicates. mosdepth (Pedersen and Quinlan 2018) was used to calculate read coverage along the (parameters: -t 3 -n ‐‐fast-mode ‐‐by 250,000).Gene density, GC content, nucleotide diversityThe gene density of each chromosome...
  4. ...and gene paralogs were grouped when they shared protein domains predicted to have equivalent functions because they belong to the same functional family in the CATH database (Sillitoe et al. 2015; Das et al. 2015b). These mutations can be mapped to a single 3D structural representative. Known functional...
  5. ...for the convenience of modeling.Gene expression dataFor RNA-seq, total RNA-seq and poly(A) plus RNA-seq data in 19 human cell types were downloaded from ENCODE. Released transcript quantifications mapped to GRCh38 and annotated to GENCODE V29 were retained. RNA-seq gene expression was calculated as the sum of all...
  6. ...unit variance, yielding RT Z-scores. We then categorized the into 12 chromosomal domains with their mean RT Z-scores: two major autosomal arms and their pericentromeric regions, the 4th, X, and Y Chromosomes, and a gene consensus for the ribosomal DNA (rDNA) locus (Fig. 5B). This allowed us...
  7. ...as the transcriptome does not provide information about genomic context, thus hindering any research into transcriptional regulation, and the 105 gene models are less complete and have reduced mapping rates when using AEP RNA-seq data (Supplemental Fig. S11; Supplemental Table S2). In addition, there have been...
  8. ...segment.In 3421/3436 humans, AGAP1, AGAP2, and AGAP3, which map outside Chromosome 10, are in single copy. Conversely, the other 10 AGAP genes, which map on Chromosome 10, have a WSSD diploid copy number ranging from 15 to 32, with the mean value equal to 19 or 20 (representative AGAP4 copynumber plot...
  9. ...enhancer activity in the phNPCs, and we link these regions to over 2200 predicted target genes. These genes are involved in neuronal and psychiatric disease-associated pathways, including neuronal system, nervous system development, and developmental delay. We functionally validate a subset...
  10. ...RNAs) and individual studies that concentrate either on a limited number of TFs or on specific groups of genes. Once again, the best practical path to easily accessing these types of data is via curated integrating databases, especially Harmonizome and GTRD. It is important to remember that although...
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