Schema for Head Tissues Cufflinks Transcripts - Cufflinks Transcripts using modENCODE RNA-Seq from Head Tissues
  Database: DmojImproved    Primary Table: head_cufflinks_adult_females    Row Count: 12,561
fieldexampleSQL type info
bin 585smallint(5) unsigned range
chrom improved_6498varchar(255) values
chromStart 79220int(10) unsigned range
chromEnd 80389int(10) unsigned range
name TCONS_00000195varchar(255) values
score 1000int(10) unsigned range
strand +char(1) values
thickStart 79220int(10) unsigned range
thickEnd 80389int(10) unsigned range
reserved 0int(10) unsigned range
blockCount 1int(10) unsigned range
blockSizes 1169,longblob  
chromStarts 0,longblob  

Sample Rows
 
binchromchromStartchromEndnamescorestrandthickStartthickEndreservedblockCountblockSizeschromStarts
585improved_64987922080389TCONS_000001951000+7922080389011169,0,
587improved_6498320247322886TCONS_000002471000+320247322886012639,0,
587improved_6498343936345158TCONS_000002501000+343936345158011222,0,
587improved_6498345211346651TCONS_000002511000+345211346651011440,0,
587improved_6498352487357025TCONS_000002591000+352487357025014538,0,
587improved_6498361020362715TCONS_000002641000+361020362715011695,0,
587improved_6498362776364482TCONS_000002651000+362776364482011706,0,
587improved_6498365572368487TCONS_000002671000+365572368487012915,0,
587improved_6498370732375063TCONS_000002691000+370732375063014331,0,
587improved_6498376366378043TCONS_000002721000+376366378043011677,0,

Note: all start coordinates in our database are 0-based, not 1-based. See explanation here.

Head Tissues Cufflinks Transcripts (head_cufflinks) Track Description
 

Description

This track was created by mapping D. mojavensis RNA-seq reads (generated by the modENCODE project) against the D. mojavensis DmojImproved assembly. The aligned RNA-seq reads are then used as input for downstream analysis using Cufflinks.

Methods

Cufflinks assembles transcripts, estimates their abundances, and tests for differential expression and regulation in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these transcripts based on how many reads support each one.

References

Cufflinks is a collaborative effort between the Laboratory for Mathematical and Computational Biology, led by Lior Pachter at UC Berkeley, Steven Salzberg's group at the University of Maryland Center for Bioinformatics and Computational Biology, and Barbara Wold's lab at Caltech.

The RNA-Seq data were submitted by the modENCODE project. The original RNA-Seq dataset can be obtained from the NCBI GEO database under the accession number GSE20882.