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Transcistor-2.0

Download and run the Python file on Command-Line. Currently, there are four parameters required for input:

  • Location of GENCODE File
  • Location of FANTOM Metadata file
  • Location of FANTOM/Other folder containing experimental data files corresponding to each lncrna
  • Location of output csv file

Run the following help command to see description and sequence of inputs (Please input location of Python file on your local system)

 python3 /Users/sanatmishra27/Desktop/GOLDLAB.py -h

Output

Screenshot 2021-05-24 at 9 47 27 AM

To run the entire programme with the appropriate arguments (Please input locations of files on your local system)-

python3 /Users/sanatmishra27/Documents/FINAL_GOLDLAB.py -g /Users/sanatmishra27/Downloads/GOLDLab/hum_gencode_v33\ \(1\).txt -meta /Users/sanatmishra27/Downloads/fantom6_metadata.txt -fantom /Users/sanatmishra27/Downloads/FANTOM -o /Users/sanatmishra27/Downloads/GOLDLab/

Filenames

The filename of each experiment should be the experiment id. For example, ASO_C0008586_03.txt
The folder containing these files needs to be specified as input while running the programme.

Meta Data Format

The metadata file must have the following columns -

File_Name  ENSEMBL  CHR  strand	 SYMBOL  TSS  SPECIES  ENTREZID  FILE_TYPE  PERTURBATION  DATASET

Filters

Only those genes which satisfy the following criteria are considered for evaluating the test-statistic:

  • Genes on the same chromosome as the knocked-down lncrna

Test-statistic

\begin{align*}
Test Stat &= \frac{1}{n} \sum_{i=1}^{n} \frac{1}{d_i^a} \\
\end{align*}
where

  • n = Number of genes that pass the filters
  • d = Distance of gene from UMLILO
  • a = Exponent (Set as 1)

Output Format

The format of the output csv file will be as follows - Screenshot 2021-05-23 at 5 18 57 PM

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Linear model to predict cis-action of lncRNAs.

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