## Description

This track is produced as part of the ENCODE Transcriptome Project. It shows high throughput sequencing of RNA samples from tissues or sub cellular compartments from cell lines included in the ENCODE Transcriptome subproject. The overall goal of the ENCODE project is to identify and characterize all functional elements in the sequence of the human genome.

## Display Conventions and Configuration

This track is a multi-view composite track that contains multiple data types (views). For each view, there are multiple subtracks that display individually on the browser. Instructions for configuring multi-view tracks are here.

To show only selected subtracks, uncheck the boxes next to the tracks that you wish to hide.

Color differences among the views are arbitrary. They provide a visual cue for distinguishing between the different cell types.

Plus Raw Signal
  The Plus Raw Signal view graphs the base-by-base density of alignments on the + strand.
Minus Raw Signal
  The Minus Raw Signal view graphs the base-by-base density of alignments on the - strand.
All Raw Signal
  The All Raw Signal view graphs the base-by-base density of alignments on both strands.
Alignments
  The Alignments view shows reads mapped to the genome. Sequences determined to be transcribed on the positive strand are shown in blue. Sequences determined to be transcribed on the negative strand are shown in orange. Sequences for which the direction of transcription was not able to be determined are shown in black.
Split Alignments
  The Split Alignments view shows alignments of individual RNA sequences that cross exon splice sites. They are colored by strand as described above.

## Methods

The RNA-Seq data were generated from high quality polyA RNA, and the RNA-Seq libraries were constructed using SOLiD Whole Transcriptome (WT) protocol and reagent kit. Total RNA in good quality was used as starting materials and purified twice through MACs polyT column aimed to enrich polyA and remove any contaminants (e.g., rRNA, tRNA, DNA, protein etc.). A one microgram enriched polyA RNA sample was then fragmented to small pieces, and a gel-based selection method was performed to collect fragmented random polyA at a size-range of 50-150 nt in length. The collected fragmental RNA was then hybridized and ligated to a mix of adaptors provided from ABI, followed by reverse transcription to generate corresponding cDNAs. The resulting cDNA library was further amplified by PCR and sequenced by SOLiD platform for single reads at 35 bp length (new version in 50 bp length). Cells were grown according to the approved ENCODE cell culture protocols.

Data: The SOLiD-generated RNA-Seq reads were 35 bp in length. An initial filtering process was performed to remove any non-desirable contamination sequences, such as rRNA, tRNA, and repeats etc. A read-split mapping approach was developed to map the 35 bp reads onto the reference genome (NCBI Build 36/hg18). Specifically, the 35 bp reads were divided into two parts (1st-25 bp and 2nd-25 bp with 10 bp overlapping) and mapped separately. An extension mapping analysis was further performed to generate score counts from each read and use the score numbers as a gauge of filtering reference (e.g., scoring >26 was used). The reads with mapping locations N≤1 or N>10 were excluded from further analysis. As a unique strand-specific feature from the SOLiD RNA-Seq, the data sets generated by SOLiD RNA-Seq were strand-specific and mapped on exons with strand-specificity.

Mapping parameters: Mapping was done using Applied Biosystems' SOLiD alignment for whole transcriptome analysis pipeline. Two mismatches were allowed in the 25 bp color space seed sequence with progressive alignment performed to find the full mapping location. A score is computed for each mapping location and any location that scored ≤26 was filtered.

## Credits

The GIS RNA-seq libraries and sequence data for transcriptome analysis were produced at the Genome Institute of Singapore. The data were mapped and analyzed by scientists from the Genome Institute of Singapore.

Contact: RUAN Xiaoan

## Data Release Policy

Data users may freely use ENCODE data, but may not, without prior consent, submit publications that use an unpublished ENCODE dataset until nine months following the release of the dataset. This date is listed in the Restricted Until column, above. The full data release policy for ENCODE is available here.