Results 111 to 120 of about 436,281 (168)
Protocol for automated optimization of feature selection and clustering parameters in single-cell RNA-seq using scAutoTune. [PDF]
STAR ProtocSun SH, Pezaris JS.
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Spatial Transcriptomics and Bulk RNA-Seq Analysis Revealed Molecular Classification of Invasive Lobular Carcinoma. [PDF]
Cancer SciTokura M +9 more
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Distinct single-nucleus RNA-seq changes among non-neuronal cells in ADNC, LATE-NC, and mixed pathologies. [PDF]
Alzheimers DementQiao Q +9 more
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Identification of Potential Biomarkers for Rheumatoid Arthritis Based on Integrated Bioinformatics and Single-Cell RNA-Seq. [PDF]
Genes (Basel)Zhang J, Han K.
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2023
We try to establish a standardized practices for RNA diagnostics using clinically accessible whole blood, we evaluated the two protocols (ribo-minus and the modified polyA+) by comparing the expression profiles and alternative splicing events of OMIM genes in clinical settings where RNA samples were collected primarily from patients whose whole genome ...
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We try to establish a standardized practices for RNA diagnostics using clinically accessible whole blood, we evaluated the two protocols (ribo-minus and the modified polyA+) by comparing the expression profiles and alternative splicing events of OMIM genes in clinical settings where RNA samples were collected primarily from patients whose whole genome ...
openaire +1 more source
RNA-Seq UD: A bioinformatics plattform for RNA-Seq analysis
2015 10th Iberian Conference on Information Systems and Technologies (CISTI), 2015In this work is presented a process of design and building of a software that gather the tools required for a RNA-Seq data bioinformatics research. From the proposed a workflow is proposed that represents all a process that goes through the main stages of the treatment of transcriptomic and next generation sequencing data, such as preprocessing ...
Miguel Ramirez +2 more
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2021
RNA-Seq is nowadays an indispensable approach for comparative transcriptome profiling in model and nonmodel organisms. Analyzing RNA-Seq data from nonmodel organisms poses unique challenges, due to unavailability of a high-quality genome reference and to relative sparsity of tools for downstream functional analyses.
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RNA-Seq is nowadays an indispensable approach for comparative transcriptome profiling in model and nonmodel organisms. Analyzing RNA-Seq data from nonmodel organisms poses unique challenges, due to unavailability of a high-quality genome reference and to relative sparsity of tools for downstream functional analyses.
openaire +2 more sources