Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1093/nar/gkab958

http://scihub22266oqcxt.onion/10.1093/nar/gkab958
suck pdf from google scholar
34718748!8689837!34718748
unlimited free pdf from europmc34718748    free
PDF from PMC    free
html from PMC    free
PDF vom PMID34718748  :  Publisher

suck abstract from ncbi

pmid34718748
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • MVIP: multi-omics portal of viral infection #MMPMID34718748
  • Tang Z; Fan W; Li Q; Wang D; Wen M; Wang J; Li X; Zhou Y
  • Nucleic Acids Res 2022[Jan]; 50 (D1): D817-D827 PMID34718748show ga
  • Virus infections are huge threats to living organisms and cause many diseases, such as COVID-19 caused by SARS-CoV-2, which has led to millions of deaths. To develop effective strategies to control viral infection, we need to understand its molecular events in host cells. Virus related functional genomic datasets are growing rapidly, however, an integrative platform for systematically investigating host responses to viruses is missing. Here, we developed a user-friendly multi-omics portal of viral infection named as MVIP (https://mvip.whu.edu.cn/). We manually collected available high-throughput sequencing data under viral infection, and unified their detailed metadata including virus, host species, infection time, assay, and target, etc. We processed multi-layered omics data of more than 4900 viral infected samples from 77 viruses and 33 host species with standard pipelines, including RNA-seq, ChIP-seq, and CLIP-seq, etc. In addition, we integrated these genome-wide signals into customized genome browsers, and developed multiple dynamic charts to exhibit the information, such as time-course dynamic and differential gene expression profiles, alternative splicing changes and enriched GO/KEGG terms. Furthermore, we implemented several tools for efficiently mining the virus-host interactions by virus, host and genes. MVIP would help users to retrieve large-scale functional information and promote the understanding of virus-host interactions.
  • |*Databases, Factual[MESH]
  • |*Host Microbial Interactions/genetics[MESH]
  • |*Virus Diseases/genetics/metabolism[MESH]
  • |Animals[MESH]
  • |Chromatin Immunoprecipitation Sequencing[MESH]
  • |Gene Ontology[MESH]
  • |Genome, Viral[MESH]
  • |High-Throughput Nucleotide Sequencing[MESH]
  • |Humans[MESH]
  • |Metadata[MESH]
  • |Sequence Analysis, RNA[MESH]
  • |Software[MESH]
  • |Transcriptome[MESH]
  • |User-Computer Interface[MESH]
  • |Web Browser[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    D817 D1.50 2022