Results 201 to 210 of about 4,572,181 (334)
Overview of molecular signatures of senescence and associated resources: pros and cons
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas +6 more
wiley +1 more source
ReAlign-P: a vertical iterative realignment method for protein multiple sequence alignment. [PDF]
Zhai Y, Zhang P, Zou Q, Luo X.
europepmc +1 more source
Skin biopsies taken from a patient with an ultra‐rare disorder as well as controls were cultured for up to 473 days. The chunks of skin were serially transferred to a new culture plate when confluent with fibroblasts. Different generations of fibroblasts were analyzed for cell and molecular properties, proliferation, and competence for reprogramming to
Sudiksha Rathan‐Kumar +3 more
wiley +1 more source
A List-Based Parallel Bacterial Foraging Algorithm for the Multiple Sequence Alignment Problem. [PDF]
Rios-Willars E +2 more
europepmc +1 more source
Gapped sequence alignment using artificial neural networks: application to the MHC class I system
M. Andreatta, M. Nielsen
semanticscholar +1 more source
Sequence Alignment Reveals Possible MAPK Docking Motifs on HIV Proteins
Perry Evans +3 more
openalex +2 more sources
Queries and graphs for sequence to graph alignment method evaluation
Haowen Zhang
openalex +1 more source
Comparative analysis of chloroplast genomes from 14 genera of Thymelaeaceae revealed variation in gene content, ranging from 128 to 142 genes, primarily influenced by IR expansion/contraction events and pseudogenization of ndhF, ndhI, and ndhG. Two large inversions were detected within the large single‐copy region, including a synapomorphic inversion ...
Abdullah +8 more
wiley +1 more source
Enhancing sequence alignment of adaptive immune receptors through multi-task deep learning. [PDF]
Konstantinovsky T +5 more
europepmc +1 more source

