qpcr-pipeline

Auto-analysis for Real-Time PCR (qPCR) data

https://github.com/tiramisutes/qpcr-pipeline

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.2%) to scientific vocabulary

Keywords

python qpcr r
Last synced: 6 months ago · JSON representation ·

Repository

Auto-analysis for Real-Time PCR (qPCR) data

Basic Info
Statistics
  • Stars: 37
  • Watchers: 1
  • Forks: 16
  • Open Issues: 0
  • Releases: 0
Topics
python qpcr r
Created about 7 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

Real-Time PCR (qPCR) Pipeline

Auto-analysis for Real-Time PCR (qPCR) data.

This qPCR experiment usually have two group: Control (CK) and sample, and at least two type genes: Housekeeping Gene (HG) and Target Gene (TG). In our lab this usually label with ub7 and ve.

Congratulations! A alternative way to analysis of qPCR data can be find in : A shiny for analysis qRT-PCR data

  • Dependencies
  • INPUT
  • USAGE
  • OUTPUT ## 1. Dependencies
  • python
    • collections
    • itertools
    • csv
    • pandas
    • numpy
    • sys
  • R
    • ggplot2
    • gridExtra
    • ggthemes
    • ggsci
    • reshape2
    • dplyr ## 2. INPUT There is a example input data in Example_data/. ## 3. USAGE ./qPCR.sh A B C D E F Argument:
  • A: absolute path of Input data (e, /public/home/hope/qPCR)
  • B: Input Data (e, rawinputqPCR.csv)
  • C: Width of output pdf file
  • D: Height of output pdf file
  • E: Whether plot a scientific journals figure using the ggsci packages (yes or no)
  • F: The sample name used as reference level in ANOVA analysis

Running on the example data: ./qPCR.sh /public/home/hope/qPCR raw_input_qPCR.csv 18 8 no CK

4. OUTPUT

  • rawinputqPCR_ubq7.csv
  • rawinputqPCR_ve.csv
  • RQrawinputqPCR_ve.csv
  • RQrawinputqPCR_ubq7.csv
  • rawinputqPCR_R.csv
  • rawinputqPCR_ANOVA.csv
  • ProrawinputqPCRR.csv
  • Prorawinput_qPCR.pdf
  • rawinputqPCR_T-test.pdf

Owner

  • Name: hope
  • Login: tiramisutes
  • Kind: user

Bioinformatician, interested in genomics.

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Lisa"
  given-names: "Mona"
  orcid: "https://orcid.org/0000-0000-0000-0000"
- family-names: "Bot"
  given-names: "Hew"
  orcid: "https://orcid.org/0000-0000-0000-0000"
title: "My Research Software"
version: 2.0.4
doi: 10.5281/zenodo.1234
date-released: 2017-12-18
url: "https://github.com/github/linguist"
preferred-citation:
  type: article
  authors:
  - family-names: "Lisa"
    given-names: "Mona"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  - family-names: "Bot"
    given-names: "Hew"
    orcid: "https://orcid.org/0000-0000-0000-0000"
  doi: "10.0000/00000"
  journal: "Journal Title"
  month: 9
  start: 1 # First page number
  end: 10 # Last page number
  title: "My awesome research software"
  issue: 1
  volume: 1
  year: 2021
  

GitHub Events

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  • Fork event: 1
Last Year
  • Watch event: 2
  • Fork event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 70
  • Total Committers: 1
  • Avg Commits per committer: 70.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 11
  • Committers: 1
  • Avg Commits per committer: 11.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
hope 1****8@q****m 70
Committer Domains (Top 20 + Academic)
qq.com: 1