devhimd19

devhimd19's Stars

• stephenturner/oneliners

  Useful bash one-liners for bioinformatics.

  1.9k15510517

• shervinea/mit-15-003-data-science-tools

  Study guides for MIT's 15.003 Data Science Tools

  1.8k643363

• ncbi-nlp/BioWordVec

  Language:Python14511229

• WebLogo/weblogo

  WebLogo 3: Sequence Logos redrawn

  Language:Python143810738

• fhalab/embeddings_reproduction

  Language:Jupyter Notebook12751232

• kyu999/biovec

  A new approach for representing biological sequences

  Language:Python997933

• mheinzinger/SeqVec

  Modelling the Language of Life - Deep Learning Protein Sequences

  Language:Python7331325

• Yoctol/seq2vec

  Transform sequence of words into a fix-length representation vector

  Language:Python6814118

• Proteomicslab57357/UniprotR

  Retrieving Information of Proteins from Uniprot

  Language:R6063018

• tadorfer/protlearn

  A Python package for extracting protein sequence features

  Language:Python583198

• psipred/s4pred

  A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence

  Language:Python50769

• LOVE-DOCTOR/MultiTrain

  Test several machine learning models on your dataset with few lines of code

  Language:Python404312

• iquasere/UPIMAPI

  UniProt Id Mapping through API

  Language:Python322104

• prog4biol/pfb2022

  Programming for Biology Class @ CSHL 2022

  Language:Python123120

• rohitdwivedula/enzyme-classification

  Predict the enzyme class of a given FASTA sequence using deep learning methods including CNNs, LSTM, BiLSTM, GRU, and attention models along with a host of other ML methods.

  Language:Python12112

• pallucs/PTMGPT2

  GPT-based protein language model for PTM site prediction

  Language:Jupyter Notebook11111

• devalab/ml4science_tut

  ML for Science Tutorials

  Language:Jupyter Notebook9324

• tanvipenumudy/Deep-Learning-Labs

  Language:Jupyter Notebook7103

• QUST-AIBBDRC/SulSite-GTB

  SulSite-GTB：identification of protein S-sulfenylation sites by fusing multiple feature information and Gradient tree Boosting

  Language:Python6113

• janiksielemann/shape-based-TF-binding-prediction

  A workflow to learn protein-DNA binding specificity from experimental peak data based on DNA shape.

  Language:Python5202

• tanvipenumudy/AI-ML-Weekly-Challenges

  Weekly Challenges (DeepConnectAI)

  Language:Jupyter Notebook4102

• vam-sin/deepcys

  A complete Deep Learning solution to predicting the behavior of a given cysteine. The predictions are made using the features from the high resolution protein crystal structures.

  Language:Roff4100

• khanhlee/fastSulf-DNN

  Using deep neural networks and biological sub-words to detect protein S-sulfenylation sites

  Language:Python2121

• ningq669/DLF-Sul

  Language:Python210

• wendao/sbPCR

  Sequence-Based Prediction of Cysteine Reactivity Using Machine Learning

  Language:Python2001

• ajmaurais/cimage_annotation

  Functional cysteine annotation

  Language:Python1100

• hmenager/pyacd

  Python API to parse and access EMBOSS ACD files

  Language:Python1111

• shanmukh98/Protein_Structure_Experiments

  Experiments on protein structure prediction for the course ML for Sciences Spring 2019

  Language:Jupyter Notebook1200