Unified biological sequence manipulation in Python
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Updated
Jun 12, 2024 - Python
Unified biological sequence manipulation in Python
Biological sequences for the julia language
A new approach for representing biological sequences
Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
tidy processing of biological sequences in R
Seamless Integration of BLAST Sequence Searches in R
Tokenizers and Machine Learning Models for biological sequence data
BioTorrents.de’s version of Gazelle
A package for making MuE observation models in Edward2.
N-Gram Analysis of Biological Sequences
An ML-feature processing library for biological sequences.
Biological sequence variation
A gui for calculating seguid checksums for biological sequences
deep learning experiments on biological sequences with PyTorch
A pure python lazy BAM parser
Algorithms for Bionformatics - Python Module to handle biological sequences and run common algorithms and techniques
BioSeq2vec: learning deep representation of biological sequences using LSTM Encoder-Decoder
C++ Tandem Repeats Detector -- Spring 2020 Independent Study Class in the Computer Science Department of Brooklyn College
An object-oriented Python library for simulating biological sequences
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