GithubHelp home page GithubHelp logo

rgiessmann / peaks Goto Github PK

View Code? Open in Web Editor NEW
1.0 2.0 1.0 210 KB

Python toolbox to evaluate capillary electrophoresis chromatograms, intended to detect binding of small molecules to DNA, i.e. to perform footprinting.

Python 100.00%

peaks's Introduction

peaks

To install:

  • Open "anaconda prompt"
  • type: pip install git+https://github.com/rgiessmann/peaks

To execute run_* files:

  • Download this repository and unzip it to C:\peaks
  • Open "anaconda prompt"
  • navigate to the folder containing the file called "input_traces.csv" (you can do this by typing: cd ... where ... can be the absolute path, e.g. C:\Users\Robert\Desktop\)
  • type: ipython C:\peaks\scripts\run_*.ipy , where you replace * with the filename you want to run

To generate annotation-able csv files

To annotate .csv files of analyzed peaks with raw peak heights

  • Open "anaconda prompt"
  • navigate to the folder containing the .csv files generated by PeakScanner (you can do this by typing: cd ... where ... can be the absolute path, e.g. C:\Users\Robert\Desktop\)
  • type: annotate -i <analyzed_peak_file.csv> <raw_peak_file.csv> <raw_peak_file2.csv> ... , where you replace the <...> with the real filenames

Data specifications

Input files

input_traces.csv

tab separated values

File name Dye color Ltot concentration (µM)
01-18-16-11-27 AM.fsa B 0
01-18-16-35-11 AM.fsa B 5

--> auto-picking of reference trace from all 0M traces?

referenced .csv files of analyzed peaks

comma separated values

| Status|Sample Name|Sample Type|Size Standard|Analysis Method|SQI|Offscale|Quality|UD1|UD2|UD3|Dye|Sample Peak|Sample File Name|Size|Height|Area in Point|Area in BP|Data Point|Begin Point|Begin BP|End Point|End BP|Width in Point|Width in BP|User Comments|User Edit | --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | --- Analyzed|0|Sample|bto 550|Sizing Default - NPP|false|Pass|Pass||||B|1|01-18-16-11-27 AM.fsa||123|1117|0|2065|2052|-1|2072|-1|10|0|| Analyzed|0|Sample|bto 550|Sizing Default - NPP|false|Pass|Pass||||B|2|01-18-16-11-27 AM.fsa||83|911|0|2079|2072|-1|2091|-1|10|0||

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.