(Each paper should be submitted by set of 2 file: Info.txt and Data.txt. If paper keeps 2 or more comparisons then a set of 2 files (Info.txt and Data.txt) per each comparison.)

Step 1. Generate Info.txt file

PMID:
Reference:		(Use this order. First author (last name) et al. Paper Title. Publication year.)
Study type:	Pso vs HCPsA vs PsCPsA vs HCsPsC vs HCsPsA vs other diseasesPsC vs other diseasesPsA axial vs PsA peripheralTissue vs TissueResponders vs NonrespondersTreatment vs TreatmentBefore and after treatmentPso vs Pso with comorbiditiesPsA vs PsA with comorbiditiesPsA with different disease activity scoresPso with different disease activity scoresPso converters vs Pso nonconvertersPso patients before and after progression to PsAPsA males vs PsA femalesPsA males vs PsC malesPsA females vs PsC females
No of patients:
No of healthy controls HCs:
Age of Pso/PsA patients (paediatric, young adults, etc):	Paediatric: age<18 yrsYoung adults: 18-39 yrsMiddle aged adults: 40-59 yrsSenior adults: >60 yrs	Age type
Age value type:	meanmedianrange	Mean or median or range, yrs
Sex of Pso/PsA patients:	MaleFemaleMale & Female
Race/Ethnicity:	WhiteHispanicSouth Asian/IndianBlackChineseSouth East AsianKoreanJapaneseFilipinoPacific IslanderMiddle EasternAboriginal
BMI of Pso/PsA patients (underweight etc. or range, kg/m2):	underweight <18.5normalweight: 18.5-24.9overweight: 25.0-29.9obese class I: 30.0-34.9obese class II: 35.0-39.9obese class III: >=40
BMI value type:	meanmedianrange
Disease activity score type:	68/66 tender/ swollen joint countsDAPSAcDAPSAMDAPASDASPASI	Click on the desired options while holding down the Ctrl/Shift key
Disease activity score (mean or median):
Pso disease duration (mean or median, yrs):		Please provide for both PsA and PsC patients if available (format: 20 PsA, 13 PsC)
PsA disease duration (mean or median, yrs):
Comorbidities of patients:	Metabolic syndromeCardiovascular diseaseMyocardial infarctionDiabetesRevascularizationStrokeAnginaDyslipidemiaHypertensionDepressionMalignancyUveitisInflammatory bowel disease
Treatment being studied:
Tissue:	skin biopsywhole blood RNAPBMCsserumplasmasynovial tissuesynovial fluidurinefaecal sampleswhole blood DNAn.s.
Cell type:
Marker:	SNP/SNVCNVmethylated sitesmiRNAmRNAlong noncoding RNAsmall noncoding RNAproteinmetabolite
Omic type:	TranscriptomicProteomicMetabolomicGenomicEpigenomic
Methods sample preparation:
Instrument type:	MicroarrayGenome wide SNP arrayNGSscRNAseqsnRNAseqOLINKSomascanMass spectrometryNMRBisulfite sequencingATACseq
Method dataanalysis:
Data reference:
Comments:

  



Sample of prepared Info

Step 2. Make Data.txt file

• Use MS Office Excel or similar application to collect data (from paper / data-reference table) into 5 columns as tab delimited spreadsheet. Name columns as:
  
  - gene symbol (mandatory)
  
  - regulation (mandatory. Can be 'up' or 'down' only. Comment at Info.txt should clarify a way the regulation was set.)
  
  - score (optional. Set score of all 'up' as well as 'down' coming from Log(FC) as positive. Treat score of the other 'down' as negative values.)
  
  - p value (optional)
  
  - clone id (optional. Clone Id would be a Probe ID related to a Method or Platform.)
  
  

Sample of prepared Data

Step 3. Verify