| gmarcais/Jellyfish |
419 |
|
0 |
0 |
over 2 years ago |
0 |
|
90 |
other |
C++ |
| A fast multi-threaded k-mer counter |
| kundajelab/dfim |
44 |
|
0 |
0 |
about 7 years ago |
0 |
|
3 |
|
Python |
| Deep Feature Interaction Maps (DFIM) |
| lorenzo-rovigatti/oxDNA |
32 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
gpl-3.0 |
C++ |
| A new version of the code to simulate the oxDNA/oxRNA models, now equipped with Python bindings |
| Danko-Lab/rtfbs_db |
21 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
gpl-3.0 |
R |
| Parse TF motifs from public databases, read into R, and scan using 'rtfbs'. |
| MedChaabane/DeepBind-with-PyTorch |
15 |
|
0 |
0 |
about 7 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| CNN architecture for predicting DNA binding sites for Transcription Factors |
| benoukraflab/TFregulomeR |
13 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
gpl-3.0 |
R |
| TFregulomeR reveals transcription factors’ context-specific features and functions |
| waldronlab/BiocNYC |
12 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
HTML |
| Materials presented at the BiocNYC meet-up |
| Kyubyong/neurobind |
11 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Yet Another Model Using Neural Networks for Predicting Binding Preferences of for Test DNA Sequences |
| wassermanlab/TFFM |
10 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
lgpl-3.0 |
Python |
| TFFM framework |
| mjendrusch/nimna |
8 |
|
0 |
0 |
about 8 years ago |
0 |
December 08, 2023 |
0 |
mit |
Nim |
| DNA/RNA folding in Nim |
