DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins. [PDF]
Bioinformatics, 2020 Zhang C +4 more
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DeepECA: an end-to-end learning framework for protein contact prediction from a multiple sequence alignment. [PDF]
BMC Bioinformatics, 2020 Fukuda H, Tomii K.
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Multiple Sequence Alignment Averaging Improves Phylogeny Reconstruction. [PDF]
Syst Biol, 2019 Ashkenazy H +4 more
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Modeling variation of clinical team processes with multiple sequence alignment. [PDF]
Method Innov, 2019 Bahr NJ +7 more
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Splice-Aware Multiple Sequence Alignment of Protein Isoforms. [PDF]
ACM BCB, 2018 Nord A, Carey K, Hornbeck P, Wheeler T.
europepmc +1 more source
cRegions-a tool for detecting conserved cis-elements in multiple sequence alignment of diverged coding sequences. [PDF]
PeerJ, 2019 Puustusmaa M, Abroi A.
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Parallelized pairwise sequence alignment using CUDA on multiple GPUs
BMC Bioinformatics, 2009 Jung Sungbo
doaj +1 more source
A leigh syndrome mutation perturbs long-range energy coupling in respiratory complex I. [PDF]
Chem SciHoeser F +4 more
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Related searches:
Multiple sequence alignments are an essential tool for protein structure and function prediction, phylogeny inference and other common tasks in sequence analysis. Recently developed systems have advanced the state of the art with respect to accuracy, ability to scale to thousands of proteins and flexibility in comparing proteins that do not share the ...
Robert C, Edgar, Serafim, Batzoglou
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