Papers with Code 아카이브

Multiple Sequence Alignment

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 3
보존된 평가 기록: 3

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/OpenProteinAI/PoET

공식 코드

PoET: A generative model of protein families as sequences-of-sequences

https://github.com/cmu-safari/aphmm-gpu

공식 코드

ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis

https://github.com/elttaes/revisiting-plms

공식 코드

Exploring evolution-aware & -free protein language models as protein function predictors

https://github.com/gcorso/neuroseed

공식 코드

Neural Distance Embeddings for Biological Sequences

https://github.com/idrori/cu-tsp

공식 코드

Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations

https://github.com/ihh/transducer-tutorial

공식 코드

Phylogenetic automata, pruning, and multiple alignment

https://github.com/issararab/pevolm

공식 코드

PEvoLM: Protein Sequence Evolutionary Information Language Model

https://github.com/magiccircuit/msa-augmentor

공식 코드

Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment Generation

https://github.com/ml-jku/align-rudder

공식 코드

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution

https://github.com/pengsl-lab/esm-nbr

공식 코드

ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning

https://github.com/refresh-bio/QuickProbs

공식 코드

QuickProbs 2: towards rapid construction of high-quality alignments of large protein families

https://github.com/smirarab/sepp

공식 코드

Ultra-large alignments using Phylogeny-aware Profiles

https://github.com/thudm/msagpt

공식 코드

MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training

https://github.com/wwzll123/esm-nbr

공식 코드

ESM-NBR: fast and accurate nucleic acid-binding residue prediction via protein language model feature representation and multi-task learning

https://github.com/yamada-kd/nepal

공식 코드

Optimizing scoring function of dynamic programming of pairwise profile alignment using derivative free neural network

https://github.com/evoldoers/historian

Phylogenetic automata, pruning, and multiple alignment

https://github.com/kuangmeng/DLPAlign

https://github.com/lezhang7/msa-augmentor

Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment Generation

https://github.com/tadorfer/NLProt

Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations

https://github.com/victor369basu/ProteinStructurePrediction

Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.