Results 131 to 140 of about 13,061,353 (246)
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
BMC Bioinformatics, 2011 BackgroundRNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that map to multiple genes or isoforms.
Bo Li, Colin N. Dewey
semanticscholar +1 more source
Identification of Novel Reference Genes Based on MeSH Categories
PLoS ONE, 2014 Transcriptome experiments are performed to assess protein abundance through mRNA expression analysis. Expression levels of genes vary depending on the experimental conditions and the cell response. Transcriptome data must be diverse and yet comparable in reference to stably expressed genes, even if they are generated from different experiments on the ...
Ersahin, T. +5 more
openaire +8 more sources
Finding regulatory modules through large-scale gene-expression data analysis
, 2004 The use of gene microchips has enabled a rapid accumulation of gene-expression data. One of the major challenges of analyzing this data is the diversity, in both size and signal strength, of the various modules in the gene regulatory networks of ...
Kloster, Morten +2 more
core +1 more source
25 years of serving the community with ribosomal RNA gene reference databases and tools.
Journal of Biotechnology, 2017 SILVA (lat. forest) is a comprehensive web resource, providing services around up to date, high-quality datasets of aligned ribosomal RNA gene (rDNA) sequences from the Bacteria, Archaea, and Eukaryota domains.
F. Glöckner +10 more
semanticscholar +1 more source
Age-invariant genes: multi-tissue identification and characterization of murine reference genes
AgingAbstractStudies of the aging transcriptome focus on genes that change with age. But what can we learn from age-invariant genes—those that remain unchanged throughout the aging process? These genes also have a practical application: they serve as reference genes (often called housekeeping genes) in expression studies.
John T. González +4 more
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PLoS ONE, 2014 Oocytes from dairy cattle and buffaloes have severely compromised developmental competence during summer. While analysis of gene expression is a powerful technique for understanding the factors affecting developmental hindrance in oocytes, analysis by ...
C. H. Macabelli +13 more
semanticscholar +1 more source
Identification of Four Soybean Reference Genes for Gene Expression Normalization
The Plant Genome, 2008 Gene expression analysis requires the use of reference genes constitutively expressed independently of tissues or environmental conditions. Housekeeping genes (e.g., actin, tubulin, ribosomal, polyubiquitin, and elongation factor 1‐α) are commonly used as reference genes with the assumption that they are uniformly expressed.
M. Libault +6 more
openaire +2 more sources
Frontiers in Plant Science, 2017 Kenaf (Hibiscus cannabinus L.), an environmental friendly and economic fiber crop, has a certain tolerance to abiotic stresses. Identification of reliable reference genes for transcript normalization of stress responsive genes expression by quantitative ...
Xiaoping Niu +7 more
doaj +1 more source
NCBI RefSeq: reference sequence standards through 25 years of curation and annotation.
Nucleic Acids ResearchReference sequences and annotations serve as the foundation for many lines of research today, from organism and sequence identification to providing a core description of the genes, transcripts and proteins found in an organism's genome.
Tamara Goldfarb +35 more
semanticscholar +1 more source
PLoS ONE, 2013 Background Accurate evaluation of gene expression requires normalization relative to the expression of reliable reference genes. Expression levels of “classical” reference genes can differ, however, across experimental conditions.
Ru-mei Li +11 more
semanticscholar +1 more source