Stars
Deep learning for identifying important motifs in DNA sequences. Exploration of the structure of the human genome by training neural network architectures (CNN, LSTM, Attention).
Convolutional neural network analysis for predicting DNA sequence activity.
DNA-seq analysis with deep learning using Keras (Tensorflow)
classifying human DNA sequence and random ATCG sequences, using keras CNN
Necessary code for finding the similarities between DNA sequences/Amino Acid sequences of species
Finds all instances of a DNA sequence and analyzes areas around each for similarities.
Tool to work with DNA sequences and see similarities
Local/global sequence alignment (Smith Waterman algorithm), edit distance/similarity (Needleman Wunsch algorithm), RNA to amino acids translation
A deep learning-based tool for alignment and integration of single cell genomic data across multiple datasets, species, conditions, batches
A python package that includes a variety of string kernel methods.
BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models
Neural Networks for Protein Sequence Alignment
Access to Biological Web Services from Python.
Generates sample clients for Job Dispatcher Web Service tools
A collection of Web Service Clients to consume EBI's Job Dispatcher tools via REST APIs
Fold Protein Recognition
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Unified biological sequence manipulation in Python
Analysis package for processing counts from genome-wide CRISPR/Cas9 screens
A local tool for high-throughput CRISPR single-guide RNA (sgRNA) design in plants.
Scripts for processing and predicting CRISPR/Cas9-generated mutations
A software for the multispecies design of CRISPR/Cas9 libraries