SAMPLE=GSM787
!Sample_status = Public on Jan 4 2002
!Sample_title = SAGE_Mouse_GCP_control
!Sample_type = sage
!Sample_anchor = NlaIII
!Sample_organism = Mus musculus
!Sample_target_source = primary granule cell precursor cells
!Sample_tag_count = 87837
!Sample_description = This library represents a Cancer Genome Anatomy Project library, which was either produced through CGAP funding, or donated to CGAP.
!Sample_description = The Cancer Genome Anatomy Project (CGAP: http://cgap.nci.nih.gov) is an interdisciplinary program established and administered by the National Cancer Institute (NCI: http://www.nci.nih.gov) to generate the information and technological tools needed to decipher the molecular anatomy of the cancer cell.
!Sample_description = Mouse primary granule cell precursors, isolated on postnatal day 8 and cultured for 18 hours in serum-free medium.  Library constructed using the microSAGE protocol by Christopher Turner in the laboratory of G. Riggins, M.D., Ph.D. (Duke University)
!Sample_description = Cell_type: granule cell precursor
!Sample_description = Lab host: DH10B
!Sample_description = Vector: pZErO-1
!Sample_description = Vector type: plasmid
!Sample_description = R. Site 1: Sph1
!Sample_description = R. Site 2: Sph1
!Sample_description = Sequences generated to date: 2140
!Sample_keyword = EST
!Sample_author = Gregory,J,Riggins
!Sample_author = Robert,L,Strausberg
!Sample_web_link = http://cgap.nci.nih.gov
!Sample_submission_date = Jan 4 2002
!Sample_submitter_name = Robert,L,Strausberg
!Sample_submitter_email = cgapbs-r@mail.nih.gov
!Sample_submitter_institute = National Cancer Institute
!Sample_submitter_department = Cancer Genome Anatomy Project
!Sample_submitter_city = Bethesda,MD,20892,USA
!Sample_submitter_phone = 301-496-1550
!Sample_submitter_web_link = http://cgap.nci.nih.gov/
!Sample_platform_id = GPL11
!Sample_series_id = GSE14
#TAG = Ten base SAGE tag, LINK_PRE:"http://www.ncbi.nlm.nih.gov/SAGE/index.cgi?cmd=tagsearch&anchor=NLAIII&org=Mm&tag="
#COUNT = Absolute tag count
#TPM = Tags per million, or (1000000*COUNT)/(Total tags)