Results 131 to 140 of about 495,544 (318)
Full-length messenger RNA sequences greatly improve genome annotation [PDF]
Brian J. Haas +8 more
openalex +1 more source
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
The pace at which Next Generation Sequence data is being produced continues to accelerate as technology improves. As a result, such data are increasingly becoming accessible to biologists outside of the field of bioinformatics.
Janneke Aylward +26 more
doaj +1 more source
Three Rounds of Read Correction Significantly Improve Eukaryotic Protein Detection in ONT Reads
Background: Eukaryotes’ whole-genome sequencing is crucial for species identification, gene detection, and protein annotation. Oxford Nanopore Technology (ONT) is an affordable and rapid platform for sequencing eukaryotes; however, the relatively higher ...
Hussain A. Safar +2 more
doaj +1 more source
An integrated computational pipeline and database to support whole-genome sequence annotation [PDF]
Chris Mungall +15 more
openalex +1 more source
Emerging role of ARHGAP29 in melanoma cell phenotype switching
This study gives first insights into the role of ARHGAP29 in malignant melanoma. ARHGAP29 was revealed to be connected to tumor cell plasticity, promoting a mesenchymal‐like, invasive phenotype and driving tumor progression. Further, it modulates cell spreading by influencing RhoA/ROCK signaling and affects SMAD2 activity. Rho GTPase‐activating protein
Beatrice Charlotte Tröster +3 more
wiley +1 more source
In Vivo Functional Proteomics: Mammalian Genome Annotation Using CD-Tagging [PDF]
Jonathan W. Jarvik +6 more
openalex +1 more source
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin +10 more
wiley +1 more source
Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO) [PDF]
Selina S. Dwight
openalex +1 more source
A bioinformatics screen identifies TCF19 as an aggressiveness‐sustaining gene in prostate cancer
Gene expression meta‐analysis in multiple prostate cancer patient cohorts identifies Transcription factor 19 (TCF19) as an aggressiveness‐sustaining gene with prognostic potential. TCF19 is a gene repressed by androgen signaling that sustains core cancer‐related processes such as vascular permeability or tumor growth and metastasis.
Amaia Ercilla +15 more
wiley +1 more source

