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10.1093/nar/gkab366 http://scihub22266oqcxt.onion/10.1093/nar/gkab366 34019643!8218201!34019643     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nucleic+Acids+Res 2021 ; 49 (W1): W207-W215 Nephropedia Template TP {{tp|p=34019643|t=2021. eVITTA: a web-based visualization and inference toolbox for transcriptome analysis |pdf=|usr=}}{{34019643}} gab.com Text eVITTA: a web-based visualization and inference toolbox for transcriptome analysis JO: Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=34019643 #FOAvip Transcriptome profiling is essential for gene regulation studies in development and disease. Current web-based tools enable functional characterization of transcriptome data, but most are restricted to applying gene-list-based methods to single datasets, inefficient in leveraging up-to-date and species-specific information, and limited in their visualization options. Additionally, there is no systematic way to explore data stored in the largest transcriptome repository, NCBI GEO. To fill these gaps, we have developed eVITTA (easy Visualization and Inference Toolbox for Transcriptome Analysis; https://tau.cmmt.ubc.ca/eVITTA/). eVITTA provides modules for analysis and exploration of studies published in NCBI GEO (easyGEO), detailed molecular- and systems-level functional profiling (easyGSEA), and customizable comparisons among experimental groups (easyVizR). We tested eVITTA on transcriptomes of SARS-CoV-2 infected human nasopharyngeal swab samples, and identified a downregulation of olfactory signal transducers, in line with the clinical presentation of anosmia in COVID-19 patients. We also analyzed transcriptomes of Caenorhabditis elegans worms with disrupted S-adenosylmethionine metabolism, confirming activation of innate immune responses and feedback induction of one-carbon cycle genes. Collectively, eVITTA streamlines complex computational workflows into an accessible interface, thus filling the gap of an end-to-end platform capable of capturing both broad and granular changes in human and model organism transcriptomes. Twit Text FOAVip eVITTA: a web-based visualization and inference toolbox for transcriptome analysis ????Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=34019643 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34019643 #FOAvip English Wikipedia <ref>{{Cite pmid|34019643}}</ref> eVITTA: a web-based visualization and inference toolbox for transcriptome analysis #MMPMID34019643 Cheng X; Yan J; Liu Y; Wang J; Taubert S Nucleic Acids Res 2021[Jul]; 49 (W1): W207-W215 PMID34019643show ga Transcriptome profiling is essential for gene regulation studies in development and disease. Current web-based tools enable functional characterization of transcriptome data, but most are restricted to applying gene-list-based methods to single datasets, inefficient in leveraging up-to-date and species-specific information, and limited in their visualization options. Additionally, there is no systematic way to explore data stored in the largest transcriptome repository, NCBI GEO. To fill these gaps, we have developed eVITTA (easy Visualization and Inference Toolbox for Transcriptome Analysis; https://tau.cmmt.ubc.ca/eVITTA/). eVITTA provides modules for analysis and exploration of studies published in NCBI GEO (easyGEO), detailed molecular- and systems-level functional profiling (easyGSEA), and customizable comparisons among experimental groups (easyVizR). We tested eVITTA on transcriptomes of SARS-CoV-2 infected human nasopharyngeal swab samples, and identified a downregulation of olfactory signal transducers, in line with the clinical presentation of anosmia in COVID-19 patients. We also analyzed transcriptomes of Caenorhabditis elegans worms with disrupted S-adenosylmethionine metabolism, confirming activation of innate immune responses and feedback induction of one-carbon cycle genes. Collectively, eVITTA streamlines complex computational workflows into an accessible interface, thus filling the gap of an end-to-end platform capable of capturing both broad and granular changes in human and model organism transcriptomes. |*Data Visualization[MESH] |*Databases, Genetic[MESH] |*Internet[MESH] |Animals[MESH] |COVID-19/genetics/virology[MESH] |Caenorhabditis elegans/genetics/metabolism[MESH] |Gene Expression Profiling/*methods[MESH] |Humans[MESH] |Immunity, Innate[MESH] |Nasopharynx/virology[MESH] |S-Adenosylmethionine/metabolism[MESH] |SARS-CoV-2/genetics/pathogenicity[MESH] |Species Specificity[MESH] |Transcriptome/*genetics[MESH]eVITTA: a web-based visualization and inference toolbox for transcript(epmc).pdf DeepDyve Pubget Overpricing