Source Code

RDDpred_v1.1.tar.gz

Paper Summary

RDDpred_PaperSummary.pdf

MES-sites Production Summary

RDDpred_MES_Summary.pdf

Prior Data List






I. Introduction

1) MES method is a simulation-based approach for calculating mapping error-prone locus within genomic sequences (Peng, Zhiyu, et al., 2012).

2) RDDpred utilzed pre-calculated MES-sites of each genomes as prior data.

3) Here we provide pre-calculated results for some model organisms, such as, human, mouse, drosophila, and arabidopsis (RDDpred_MES_Summary.pdf).


II. Human (Homo sapiens)

**Pipeline Overvie & Results Summary: RDDpred_MES_Summary.pdf

1) We selected hg19 genome, NCBI refseq annotation, and RNA-STAR as targets.

2) From given targets, we calculated 16.5-M MES-sites from 10-M simulated reads (Human.MES.txt.gz).


III. Mouse (Mus musculus)

**Pipeline Overvie & Results Summary: RDDpred_MES_Summary.pdf

1) We selected mm10 genome, NCBI refseq annotation, and RNA-STAR as targets.

2) From given targets, we calculated 15-M MES-sites from 10-M simulated reads (Mouse.MES.txt.gz).


IV. Drosophila (Drosophila melanogaster)

**Pipeline Overvie & Results Summary: RDDpred_MES_Summary.pdf

1) We selected dm3 genome, NCBI refseq annotation, and RNA-STAR as targets.

2) From given targets, we calculated 8.3-M MES-sites from 10-M simulated reads (Drosophila.MES.txt.gz).


V. Arabidopsis (Arabidopsis thaliana)

**Pipeline Overvie & Results Summary: RDDpred_MES_Summary.pdf

1) We selected TAIR9 genome, TAIR9 annotation, and RNA-STAR as targets.

2) From given targets, we calculated 11.3-M MES-sites from 10-M simulated reads (Arabidopsis.MES.txt.gz).