Results 21 to 30 of about 429,505 (261)
BMC Bioinformatics, 2010 Background Large nucleotide sequence datasets are becoming increasingly common objects of comparison. Complete bacterial genomes are reported almost everyday. This creates challenges for developing new multiple sequence alignment methods.
Kryukov Kirill, Saitou Naruya
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Current Trends and Ongoing Progress in the Computational Alignment of Biological Sequences
IEEE Access, 2019 The computational techniques for nucleic acid and protein sequence comparison reduce the extensive burden of molecular biologists. The sequence alignment is one of the main research areas in bioinformatics, and comparative genomics and proteomics lead us
Muhammad Ishaq +3 more
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BMC Bioinformatics, 2012 Background The generation of multiple sequence alignments (MSAs) is a crucial step for many bioinformatic analyses. Thus improving MSA accuracy and identifying potential errors in MSAs is important for a wide range of post-genomic research.
Collingridge Peter W, Kelly Steven
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Multiple sequence alignment accuracy and evolutionary distance estimation
BMC Bioinformatics, 2005 Background Sequence alignment is a common tool in bioinformatics and comparative genomics. It is generally assumed that multiple sequence alignment yields better results than pair wise sequence alignment, but this assumption has rarely been tested, and ...
Rosenberg Michael S
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BMC Bioinformatics, 2020 Background Given a binary tree T $\mathcal {T}$ of n leaves, each leaf labeled by a string of length at most k, and a binary string alignment function ⊗, an implied alignment can be generated to describe the alignment of a dynamic homology for T ...
Alex J. Washburn, Ward C. Wheeler
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Parallel progressive multiple sequence alignment on reconfigurable meshes
BMC Genomics, 2011 Background One of the most fundamental and challenging tasks in bio-informatics is to identify related sequences and their hidden biological significance.
Nguyen Ken D, Pan Yi, Nong Ge
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From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
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Heuristic for Solving the Multiple Alignment Sequence Problem
Revista de Matemática: Teoría y Aplicaciones, 2011 In this paper we developed a new algorithm for solving the problem of multiple sequence alignment (AM S), which is a hybrid metaheuristic based on harmony search and simulated annealing.
Roman Anselmo Mora Gutiérrez +2 more
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ERBIN limits epithelial cell plasticity via suppression of TGF‐β signaling
FEBS Letters, EarlyView.In breast and lung cancer patients, low ERBIN expression correlates with poor clinical outcomes. Here, we show that ERBIN inhibits TGF‐β‐induced epithelial‐to‐mesenchymal transition in NMuMG breast and A549 lung adenocarcinoma cell lines. ERBIN suppresses TGF‐β/SMAD signaling and reduces TGF‐β‐induced ERK phosphorylation.
Chao Li +3 more
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Cognitively Economical Heuristic for Multiple Sequence Alignment under Uncertainties
Axioms, 2022 This paper introduces a heuristic for multiple sequence alignment aimed at improving real-time object recognition in short video streams with uncertainties.
Milan Gnjatović +5 more
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