TSS assembly pipeline for Dr_EPDnew_001
Introduction
This document provides a technical description
of the transcription start site assembly pipeline that was used to
generate EPDnew version 001 for
D. rerio.
Source Data
Promoter collection:
Name |
Genome Assembly |
Promoters |
Genes |
PMID |
Access data |
UCSC Genes
|
July 2010 Zv9/danRer7
|
26742
|
18606
|
26590259
|
SOURCE
|
DOC
|
DATA
|
Experimental data:
Assembly pipeline overview
Description of procedures and intermediate data files
1. Download annotated TSS
Data was downloaded from
UCSC table browser the 02-09-2013.
Transcrips have been filtered according to the following rules:
- Transcripts of protein coding genes only
- Transcript lies on full chromosomes
- Genes must be annotated [Associated Gene Name present]
- Gene and transcripts status known
Gene names were taken from the field "Associated Gene Name". Since the
EPD format doesn't allow gene names longer than 18 characters,
we checked whether the names repsected this limitation.
A total number of 26742 promoters were selected.
2. UCSC TSS collection
The UCSC TSS collection is stored as a tab-deliminated text file
conforming to the SGA format under the name:
The six field contain the following kinds of information:
- NCBI/RefSeq chromosome id
- "TSS"
- position
- strand ("+" or "-")
- "1"
- gene name / ID
Note that the second and forth fields are invariant.
3. Import CAGE data
Data was imported from GEO as SRA file format. Raw sequence files were
mapped to danRer7 genome using Bowtie. The resulting BAM files were converted to SGA file format using
ChIP-Convert.
A step-by-step guide on how to import, map and convert these samples can be found
here
5. mRNA 5' tags peak calling
For each individual CAGE sample (12 out of 21), peak calling for the merged file has been
carried out using
ChIP-Peak
on-line tool with the following parameters:
- Window width = 200
- Vicinity range = 200
- Peak refine = Y
- Count cutoff = 9999999
- Threshold = 5
6. TSS validation and shifting
Each sample in the collection (mRNA peaks and UCSC TSS) was then
separately processed in a pipeline aiming at validating transcription
start sites with mRNA peaks. A UCSC TSS was experimentally confirmed
if an mRNA peak lied in a window of 100 bp around it. The validated
TSS was then shifted to the nearest base with the higher tag
density.
7. UCSC not-validated TSS
The total number (summing up all samples) of non experimentally validated TSS was around 16000.
8. Promoter collection for each sample
Each sample in the dataset was used to generate a separate
promoter collection. Potentially, the same transcript could be
validated by multiple samples and it could have different start
sites in different samples. To avoid redundancy, the individual
collections were used as input for an additional step in the
analysis (Assembly pipeline part B).
9. Merging collections and second TSS selection
The 12 promoter collections were merged into a unique file and
further analyzed. Transcripts validated by multiple samples could
potentially have the TSS set on a broader region rather than a
single position. To avoid such inconsistency,
for each transcript we selected the position that
was validated by the larger number of samples as the true TSS.
10. Filtering
Transcription Start Sites that mapped closed to other TSS that
belonged to the same gene (200 bp window) were merged into a
unique promoter following the same rule: the promoter that was
validated by the higher number of samples was kept.
10. Final EPDnew collection
The 10728
experimentally validated promoters were stored in the
EPDnew database, which can be downloaded from our ftp
site. Scientists are welcome to use our other tools
ChIP-Seq
(for correlation analysis) and
SSA
(for motif analysis around promoters) to analyze the
EPDnew database.