Skip to main content

RT Alignment and Peptide ID Confidence Updating for LC-MS/MS Data

Project description

DART-ID

Intro

The DART-ID code goal is to make the process as simple as possible. Run dart_id, point it at the inputs, and expect an additional PEP_new column at the end. There are still some parameters that you will need to tweak manually as the default settings have not been fully generalized yet.

The bottom of this document contains links to an example configuration file and data that you can use to test the installation and performance of DART-ID.

Installation

pip install git+https://github.com/SlavovLab/DART-ID

Uninstall the package with:

pip uninstall dart_id

The installation requires Python >= 3.4, < 3.7, and has been tested on Windows 8 / OSX Mojave 10.14 / Centos 7. Ubuntu/Linux instructions can be found in linux_install.md

Install from source

We recommend using a conda environment to run DART-ID from source, so as to avoid any package versioning issues. You can create the same environment as us by using either the provided environment.yml spec or spec-file.txt (Mac OSX only).

conda env create -f environment.yml -n dart && source activate dart

Then download the source code and run the provided shell script:

git clone https://github.com/SlavovLab/DART-ID
cd DART-ID
./dart_id.sh

Usage

View parameters anytime yourself by typing "dart_id -h".

Input and output files are optional in the command line, and can be specified in the config file instead, if that's what you prefer.

An example config file, annotated and unannotated, can be found at example/config.yaml

usage: dart_id [-h] [-i INPUT [INPUT ...]] [-o OUTPUT] [-v] [--version] -c
                 CONFIG_FILE

optional arguments:
  -h, --help            show this help message and exit
  -i INPUT [INPUT ...], --input INPUT [INPUT ...]
                        Input file(s) from search engine output (e.g.,
                        MaxQuant evidence.txt). Not required if input files
                        are specified in the config file
  -o OUTPUT, --output OUTPUT
                        Path to output folder
  -v, --verbose
  --version             Display the program's version
  -c CONFIG_FILE, --config-file CONFIG_FILE
                        Path to config file (required). See
                        example/config_example.yaml

Example runs

Test that your installation is working by running dart_id.

An example configuration file can be downloaded from GitHub: https://github.com/SlavovLab/DART-ID/blob/master/config_files/example_sqc_67_95_varied.yaml.

The first few lines of the above configuration file specify the path to the input file:

## Input
## ==========================

input: 
  - /path/to/SQC_67_95_Varied/evidence.txt

You can download the evidence.txt file from MassIVE: ftp://massive.ucsd.edu/MSV000083149/other/MaxQuant/SQC_67_95_Varied/evidence.txt.

Then edit the path to the file downloaded, and run the following command:

dart_id -c config_files/example_sqc_67_95_varied.yaml -o ~/DART_ID/SQC_67_95_varied_20181206

An example analysis of the data and configuration file specified above is available publicly at ftp://massive.ucsd.edu/MSV000083149/other/Alignments/SQC_varied_20180711_4/.

The current analysis heavily uses random number generation and cannot be directly compared. To compare the results of your analysis and the provided example analysis, download the folder above and inspect the figures.html report to compare results. We are working to affix the random number generation and improve the figures outputted to improve readability and reproducibility.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dart_id-2.0.0.tar.gz (3.2 MB view hashes)

Uploaded Source

Built Distribution

dart_id-2.0.0-py3-none-any.whl (3.2 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page