A few notes on protein sequence analysis

A branch of protein bioinformatics looks at the sequence-structure relationship between protein structures and their encoding sequences. This is most prominent in homology modelling, where we align a query sequence to a database of sequences with known structures, pick the hit with the highest similarity and cast the structure to the query sequence. These different … Continue reading A few notes on protein sequence analysis

Long-short term memory in time-series data

Time-series data such as those in the stock market is usually dependent on the previous n historical data points. Recurrent Neural Network (RNN) is applied to sequence data to capture the intra-sequence dependence. Long-short term memoy network (LSTM) is a variant of RNN, capturing long-term impact on short-term signal behaviour. Key difference between a simple … Continue reading Long-short term memory in time-series data