Getting the bugs out of AI: advancing ecological research on arthropods through computer vision
Deep learning for computer vision has shown promising results in the field of entomology,
however, there still remains untapped potential. Deep learning performance is enabled …
however, there still remains untapped potential. Deep learning performance is enabled …
Ontological and bioinformatic analysis of anti-coronavirus drugs and their implication for drug repurposing against COVID-19
Coronavirus-infected diseases have posed great threats to human health. In past years,
highly infectious coronavirus-induced diseases, including COVID-19, SARS, and MERS …
highly infectious coronavirus-induced diseases, including COVID-19, SARS, and MERS …
A linear time approach to computing time series similarity based on deep metric learning
Time series similarity computation is a fundamental primitive that underpins many time
series data analysis tasks. However, many existing time series similarity measures have a …
series data analysis tasks. However, many existing time series similarity measures have a …
A fast and efficient algorithm for DNA sequence similarity identification
DNA sequence similarity analysis is necessary for enormous purposes including genome
analysis, extracting biological information, finding the evolutionary relationship of species …
analysis, extracting biological information, finding the evolutionary relationship of species …
[PDF][PDF] Similarities and evolutionary relationships of COVID-19 and related viruses
Today, we are all threatened by an unprecedented pandemic: COVID-19. How different is it
from other coronaviruses? Will it be attenuated or become more virulent? Which animals …
from other coronaviruses? Will it be attenuated or become more virulent? Which animals …
[HTML][HTML] DNA sequence similarity analysis using image texture analysis based on first-order statistics
Similarity is one of the key processes of DNA sequence analysis in computational biology
and bioinformatics. In nearly all research that explores evolutionary relationships, gene …
and bioinformatics. In nearly all research that explores evolutionary relationships, gene …
[HTML][HTML] A novel alignment-free DNA sequence similarity analysis approach based on top-k n-gram match-up
DNA sequence similarity analysis is an essential task in computational biology and
bioinformatics. In nearly all research that explores evolutionary relationships, gene function …
bioinformatics. In nearly all research that explores evolutionary relationships, gene function …
[HTML][HTML] Non-standard bioinformatics characterization of SARS-CoV-2
D Bielińska-Wąż, P Wąż - Computers in biology and medicine, 2021 - Elsevier
A non-standard bioinformatics method, 4D-Dynamic Representation of DNA/RNA
Sequences, aiming at an analysis of the information available in nucleotide databases, has …
Sequences, aiming at an analysis of the information available in nucleotide databases, has …
[HTML][HTML] The effect of numerical mapping techniques on performance in genomic research
SN Gülocak, DAŞ Bihter - Sakarya University Journal of …, 2022 - saucis.sakarya.edu.tr
In genomic signal processing applications, digitization of these signals is needed to process
and analyze DNA signals. In the digitization process, the mapping technique to be chosen …
and analyze DNA signals. In the digitization process, the mapping technique to be chosen …
Measuring similarity among protein sequences using a new descriptor
MM Abo-Elkhier, MA Abd Elwahaab… - BioMed research …, 2019 - Wiley Online Library
The comparison of protein sequences according to similarity is a fundamental aspect of
today's biomedical research. With the developments of sequencing technologies, a large …
today's biomedical research. With the developments of sequencing technologies, a large …