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Update README.md
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claudiologiudice authored Mar 19, 2020
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**REDItools2** is the optimized, parallel multi-node version of [<i class="icon-link"></i> REDItools](https://github.com/BioinfoUNIBA/REDItools).

REDItools takes in input a RNA-Seq (or DNA-Seq BAM) file and outputs a table of RNA-Seq editing events. Here is an example of REDItools's output:
![enter image description here](https://drive.google.com/uc?id=1ilGzbUKe16rt0iNQV-NzjohOBkx1hNHC)
<p align="center">
<img src="https://github.com/BioinfoUNIBA/REDItools/blob/master/Images/Fig1.png" width="500px">
</p>

The following image explains the high-level architecture.

<p align="center">
<img src="https://drive.google.com/uc?id=1rYaJstasxkBEkh7WGUAuQAQiL9c05q_f" width="500px">
<img src="https://github.com/BioinfoUNIBA/REDItools/blob/master/Images/Fig2.png" width="500px">
</p>

This version of REDItools shows an average 8x speed improvement over the previous version even when using only the serial-mode:

![enter image description here](https://drive.google.com/uc?id=11jlXSCTeFaTSqOyRC66FaVyON1YfrhpH)
<p align="center">
<img src="https://github.com/BioinfoUNIBA/REDItools/blob/master/Images/Fig3.png" width="500px">
</p>

# Index

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- Annotate the RNA-Seq table by means of the DNA-Seq table by running REDItools2.0 annotator (script *src/cineca/annotate_with_DNA.py*) with the two tables as input (e.g., *rna_table.txt* and *dna_table.txt*) which will produce the final annotated table (e.g., *final_table.txt*).

<p align="center">
<img src="https://drive.google.com/uc?id=1PjTfd1Mh0QzOwqj668t3ItOwhSxpkQqL" width="600px">
<img src="https://github.com/BioinfoUNIBA/REDItools/blob/master/Images/Fig4.png" width="500px">
</p>

When RNA-editing tables are big (e.g., greater than 1GB in gz format) reading the full table in parallel mode can be really a time-consuming task. In order to optimize the loading of target positions, we have provided a script to convert RNA-editing tables to BED files:
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Once created, the HTML page should display time information similar to the following:

<p align="center">
<img src="https://drive.google.com/uc?id=1KFIPN4Z9wgVEgCO99OH-UWQFDyezDLSr" width="600px">
<img src="https://github.com/BioinfoUNIBA/REDItools/blob/master/Images/Fig5.png" width="500px">
</p>

By means of this visualization you can *hover* on slices to see more in details the statistics for each interval computation as well as *zoom in* and *zoom out* by using the scroll wheel of your mouse.
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