DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
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Updated
Mar 9, 2024 - Python
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Library of autoencoders for sequential data
Bioconvert is a collaborative project to facilitate the interconversion of life science data from one format to another.
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
Unified biological sequence manipulation in Python
🍊 📈 Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
Package for finding difference between two input sequences with ability to detect sequence elements displacements.
PyGrinder: a Python toolkit for grinding data beans into the incomplete for real-world data simulation by introducing missing values with different missingness patterns, including MCAR (complete at random), MAR (at random), MNAR (not at random), sub sequence missing, and block missing
LSTM Mobility Model implementation using Tensorflow
ProtFeat is protein feature extraction tool that utilizes POSSUM and iFeature.
Explore and analyze biological sequence data
This program dereplicates and/or filter nucleotide and/or protein database from a list of names or sequences (by exact match).
A tool to generate image dataset for sequences of handwritten digits using MNIST database
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