title = "Sample Dataset description"

# a thumbnail image of some nice image representing your dataset, sometimes it's figure 1, sometimes 
# the journal cover, or just a screenshot of the t-SNE plot. If the file is bigger than 400px,
# optimize the image size to something smaller that can load progressively with this Unix command:
# convert myImage.png -sampling-factor 4:2:0 -strip -quality 85 -interlace JPEG -colorspace sRGB -resize 400^ thumb.jpg

#image = "thumb.jpg"

# abstract of paper or dataset summary text
abstract = """Please edit desc.conf to change this text or comment out the 
abstract= line and create abstract.html in the same directory as desc.conf
"""

# methods: please describe roughly what the samples are and how you processed them computationally
methods = """
Please edit desc.conf to change this text or comment out the methods= line and create methods.html in the same directory as desc.conf
"""

# Note that all of these identifiers can also be a list of values.
# e.g. you could write 
# pmid = ["123123", "23423423"]
# All identifiers and URLS can contain a optional description after a space

# URL to pre-print
biorxiv_url = "https://www.biorxiv.org/content/123/123.full Strangelove et al."
# URL to paper fulltext
#paper_url = "http://www.nature.com/xxx Strangelove et al, Nature 2021"
# URL to some other dataset related website, e.g. the hosting lab's own viewer
#other_url= "http://university.edu/lab/dataset Our Lab Website"
# DOI
#doi="xxx"
#

# PMID of publication
# pmid = "12343234 Strangelove et al"
# GEO Series accession, usually starts with GSE
# geo_series = "GSE25097"
# dbGaP accession, usually starts with phs.
# dbgap = "phs000424.v7.p2"
# arrayexpress accession
# arrayexpress = "xxx"
# ENA project accession
# ena_project = "ENAP12341"
# SRA accession
# sra_study = "xxxx"
# NBCI Bioproject acccession
# bioproject = "xxxx"
# Others:
# cirm_dataset= "xxxx"
# ega_study="xxxx"
#
# supplemental files can be a raw expression matrix, Seurat or Scanpy files or anything else, like protocols
# supplFiles = [
# { "file" : "seurat3.rds", "label" : "Seurat3 RDS"},
# { "file" : "scanpy.h5ad", "label" : "Scanpy h5ad"},
# ]
# You can add a file with the original raw data, if needed. It gets copied over and added to the Downloads tab, with a note
# rawMatrixFile= "raw10XFile.mtz.zip"
# rawMatrixNote= "Original 10X output file"

#submitter = "John Doe"
#version = 1
#submission_date = "2019-04-22"
#lab = "Mike Bigboss"
#institution= "RichUniversity"
#body_part = "brain"
#
# Any other information you want to show on the dataset info page
custom = {"sample barcode": "1231-HH11" }
#
