Results 121 to 130 of about 1,296,938 (317)
This study shows that patients with gastrointestinal adenocarcinomas can be stratified into six distinct subtypes based on genome‐scale DNA methylation profiling. This stratification, achieved using a robust analytical framework, aligns with established tumor characteristics and holds potential to support prognostication.
Rita Pinto+3 more
wiley +1 more source
Zero Knowledge Proof for Multiple Sequence Alignment [PDF]
Multiple sequence alignment (MSA) is a fundamental algorithm in bioinformatics. In a situation when the alignment might need to be protected while revealing the other information such the input sequences and the alignment score, zero knowledge proof can be used.
arxiv
The mitosis‐related gene SKA1 was among 629 genes consistently dysregulated in OSCC across nine public gene expression datasets. In OSCC cell lines, SKA1 promoted proliferation and migration, enhanced radioresistance, and reduced radiation‐induced senescence.
Alexander Michael Grandits+7 more
wiley +1 more source
Improving pairwise sequence alignment accuracy using near-optimal protein sequence alignments
Background While the pairwise alignments produced by sequence similarity searches are a powerful tool for identifying homologous proteins - proteins that share a common ancestor and a similar structure; pairwise sequence alignments often fail to ...
Bass Ellen J+3 more
doaj +1 more source
Amino acid sequence of the Bb fragment from human complement Factor B. Alignment of the cyanogen bromide-cleavage peptides [PDF]
Jean Gagnon, David L. Christie
openalex +1 more source
Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad+13 more
wiley +1 more source
Comparative analysis of multiple protein-sequence alignment methods. [PDF]
Marcella A. McClure, T K Vasi, W M Fitch
openalex +1 more source
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran+16 more
wiley +1 more source
MulBlast 1.0: a multiple alignment of BLAST output to boost protein sequence similarity analysis [PDF]
Gilles Labesse
openalex +1 more source