Technical indicators in Python
For now there are:
RSI - Relative Strength Index,
SMA - Simple Moving Average,
WMA - Weighted Moving Average,
EMA - Exponential Moving Average,
BB - Bollinger Bands, Bollinger Bandwidth,
%B, ROC and MA envelopes
When I can I will add more.
If anyone wishes to contribute with new code or corrections/suggestions, feel free.
Specificity Control for Read Alignments Using an Artificial Reference
We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation.
Roc's purpose is to serve as a tool for those who know little about programming. It strives to create RPGs similar to those on your video game console. Roc is written in Python and wxPython. It will support all platforms compatible with wxPython.