Thank you, I will look at them.
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I am looking if there is a resource that collects transcriptome data that I could use for meta-analysis.
Just today, we publicly announced Digital Expression Explorer - our effort to increase the re-use rate of public RNA-seq data. See my recent post. It should help you get your count matrices quickly without downloading seq data from SRA.
* EDIT the current URL for DEE2 is http://dee2.io/ *
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There is a suite of high-throughput data (CAGE-seq, RNA-seq and Chip-seq) from various developmental stages of zebrafish and tetraodon, available at UCSC custom tracks.
http://genome.ucsc.edu/goldenPath/customTracks/custTracks.html#Zebrafish
OF course you will have similar data for human and mouse from encode.