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Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1036-7_7
Abstract: The estimation of very large multiple sequence alignments is a challenging problem that requires special techniques in order to achieve high accuracy. Here we describe two software packages-PASTA and UPP-for constructing alignments on large and…
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Keywords:
sequence alignment;
multiple sequence;
alignment large;
pasta upp ... See more keywords
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1
Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.1c01360
Abstract: Therapeutic peptides offer potential advantages over small molecules in terms of selectivity, affinity, and their ability to target "undruggable" proteins that are associated with a wide range of pathologies. Despite their importance, current molecular design…
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Keywords:
visualization;
peptide sequence;
sequence alignment;
pepsea ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-23319-x
Abstract: Accurate detection of protein sequence homology is essential for understanding evolutionary relationships and predicting protein functions, particularly for detecting remote homology in the “twilight zone” (20-35% sequence similarity), where traditional sequence alignment methods often fail.…
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Keywords:
remote homology;
sequence alignment;
dynamic programming;
homology ... See more keywords
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Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac069
Abstract: Multiple sequence alignment (MSA) is an essential cornerstone in bioinformatics, which can reveal the potential information in biological sequences, such as function, evolution and structure. MSA is widely used in many bioinformatics scenarios, such as…
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Keywords:
sequence alignment;
msa;
multiple sequence;
alignment ... See more keywords
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1
Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac222
Abstract: The identification of the conserved and variable regions in the multiple sequence alignment (MSA) is critical to accelerating the process of understanding the function of genes. MSA visualizations allow us to transform sequence features into…
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Keywords:
associated data;
sequence alignment;
sequence;
multiple sequence ... See more keywords
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3
Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad190
Abstract: Multiple sequence alignment is widely used for sequence analysis, such as identifying important sites and phylogenetic analysis. Traditional methods, such as progressive alignment, are time-consuming. To address this issue, we introduce StarTree, a novel method…
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Keywords:
time;
win win;
sequence alignment;
sequence ... See more keywords
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Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx643
Abstract: Abstract Motivation Pair Hidden Markov Models (PHMMs) are probabilistic models used for pairwise sequence alignment, a quintessential problem in bioinformatics. PHMMs include three types of hidden states: match, insertion and deletion. Most previous studies have…
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Keywords:
hidden states;
beyond similarity;
similarity assessment;
sequence alignment ... See more keywords
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2
Published in 2023 at "Nucleic acids research"
DOI: 10.1093/nar/gkad400
Abstract: The utilization of high-throughput sequencing (HTS) for B-cell receptor (BCR) immune repertoire analysis has become widespread in the fields of adaptive immunity and antibody drug development. However, the sheer volume of sequences generated by these…
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Keywords:
sequence alignment;
immune repertoires;
multiple sequence;
alignment ... See more keywords
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Published in 2021 at "Systematic biology"
DOI: 10.1093/sysbio/syab073
Abstract: Widely used approaches for extracting phylogenetic information from aligned sets of molecular sequences rely upon probabilistic models of nucleotide substitution or amino-acid replacement. The phylogenetic information that can be extracted depends on the number of…
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Keywords:
information;
model misspecification;
measuring phylogenetic;
sequence alignment ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3632898
Abstract: This paper presents an enhanced quantum computing approach for DNA sequence alignment, integrating advanced noise management and robust error detection. We augment existing quantum alignment methodologies by incorporating supplementary qubits for each base, enabling improved…
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Keywords:
sequence alignment;
error detection;
sequence;
error ... See more keywords
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Published in 2020 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2020.3041402
Abstract: Next generation workloads, such as genome sequencing, have an astounding impact in the healthcare sector. Sequence alignment, the first step in genome sequencing, has experienced recent breakthroughs, which resulted in next generation sequencing (NGS). As…
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Keywords:
performance energy;
energy savings;
energy;
sequence alignment ... See more keywords