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Multiple Sequence Alignment

Papers

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Showing 1–25 of 54 papers

TitleStatusHype
Neural Distance Embeddings for Biological SequencesCode1
Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment GenerationCode1
PoET: A generative model of protein families as sequences-of-sequencesCode1
Expert-guided protein language models enable accurate and blazingly fast fitness predictionCode1
ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome AnalysisCode1
Accurate Protein Structure Prediction by Embeddings and Deep Learning RepresentationsCode1
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-TrainingCode1
PEvoLM: Protein Sequence Evolutionary Information Language ModelCode1
Align-RUDDER: Learning From Few Demonstrations by Reward RedistributionCode1
Exploring evolution-aware & -free protein language models as protein function predictorsCode1
Aligning 415 519 proteins in less than two hours on PC—0
Deep Time Warping for Multiple Time Series Alignment—0
CVTree for 16S rRNA: Constructing Taxonomy-Compatible All-Species Living Tree Effectively and Efficiently—0
Dynamic Programming Algorithms for Discovery of Antibiotic Resistance in Microbial Genomes—0
A Novel Method for Comparative Analysis of DNA Sequences by Ramanujan-Fourier Transform—0
Liquid-theory analogy of direct-coupling analysis of multiple-sequence alignment and its implications for protein structure prediction—0
ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions—0
Few Shot Protein Generation—0
Aligning Speakers: Evaluating and Visualizing Text-based Diarization Using Efficient Multiple Sequence Alignment (Extended Version)—0
Boltzmann machine learning and regularization methods for inferring evolutionary fields and couplings from a multiple sequence alignment—0
Full Reconstruction of Non-Stationary Strand-Symmetric Models on Rooted Phylogenies—0
High Performance Multiple Sequence Alignment Algorithms for Comparison of Microbial Genomes—0
Identifying relevant positions in proteins by Critical Variable Selection—0
Influence of Multiple Sequence Alignment Depth on Potts Statistical Models of Protein Covariation—0
Application of Sequence Embedding in Protein Sequence-Based Predictions—0
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All datasetsBAliBASE v3OXBenchSABMark v1.65

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1dlpalign_cnn_bilstmTotal Column Score65.47—Unverified
#ModelMetricClaimedVerifiedStatus
1dlpalign_cnn_bilstmTotal Column Score82.52—Unverified
#ModelMetricClaimedVerifiedStatus
1dlpalign_cnn_bilstmTotal Column Score42.59—Unverified