A new approach for representing biological sequences

Unified biological sequence manipulation in Python

Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)

BioSeq2vec: learning deep representation of biological sequences using LSTM Encoder-Decoder

A package for making MuE observation models in Edward2.

Data challenge with kernel methods - MVA MSc

A gui for calculating seguid checksums for biological sequences

An ML-feature processing library for biological sequences.

deep learning experiments on biological sequences with PyTorch

An object-oriented Python library for simulating biological sequences

🧬 M:CC 2021/2022 - 1ˢᵗ year/ 2ⁿᵈ semester

Algorithms for Bionformatics - Python Module to handle biological sequences and run common algorithms and techniques

A native Windows application that allows for the conversion of DNA to RNA and its respective proteins. Despite being created on and for Windows, the application has been styled after the GUI found on MacOS. The executable is now downloadable. The current release is v1.0.0.

Neural seq2seq model + attention with applications for biological sequences in mind

Developed a Parser software to meticulously extract vital information such as GO, KEGG, and DOI numbers from each protein sequence within UniProt files. The software boasts adaptability for both command-line and GUI use.