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  • HiSeq 4000 : typical RAW data output in GBytes

    Hi,

    can someone provide some info on how much raw data (in terms of GBytes, not Gbases) is generated for some typical HiSeq 4000 WGS runs (150,75, whatever)? How much fastq data (GBytes) is generated roughly/typically?

    We need to plan computing and storage resources accordingly.

    best,
    Sven

  • #2
    From the Illumina FAQ:

    The run folder size for the maximum read length of 2 x 150 is about 0.6 TB.

    Comment


    • #3
      Originally posted by kcchan View Post
      From the Illumina FAQ:
      Sure. For our HiSeq 2000 a few years ago, we had folder sizes up to 4TB; Illumina stated in their FAQ that a run folder is roughly 1TB.

      I am just curious how real-world numbers align with Illumina's FAQ.

      Comment


      • #4
        Some recent run data folder sizes for HiSeq 4000.

        SE 50 bp - 90G
        PE 50 bp - 170G
        PE 75 bp - 250G
        PE 150 bp - 500G

        Comment


        • #5
          GenoMax, thanks for the numbers. That makes me optimistic :-)

          Comment


          • #6
            Should have said that those are raw data folder sizes before bcl2fastq v.2.x conversion.

            Comment


            • #7
              Originally posted by GenoMax View Post
              Should have said that those are raw data folder sizes before bcl2fastq v.2.x conversion.
              That's what I was interested in :-)

              But btw, what's the fastq output for such runs (roughly)?

              Comment


              • #8
                Originally posted by sklages View Post
                That's what I was interested in :-)

                But btw, what's the fastq output for such runs (roughly)?
                Fastq folder size (sample dependent)

                PE 50 bp - ~195 G
                PE 75 bp - ~275 G
                PE 150 bp - ~350-400 G

                Comment


                • #9
                  Are those numbers for gzipped or raw fastqs?

                  Comment


                  • #10
                    For gzipped fastq's.

                    Comment

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