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adussaq-KINOME-1.0.0-swagger.yaml
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swagger: '2.0'
info:
version: 1.0.0
title: kinomic database
description: The API for the database for the kinomic toolbox (http://toolbox.kinomecore.com)
produces:
- application/json
- img/tiff
- img/png
paths:
/img/{img_file_name}:
get:
tags:
- Database
description: returns the tiff image that matches the given image file name (img_file_name).
parameters:
- in: path
name: img_file_name
required: true
type: string
/db/1.0.0/name/{doc_id}:
get:
tags:
- Database
description: returns all data for in the name collection that matches either {doc_id} or the query
operationId: getDevices
parameters:
- in: path
name: level
required: true
type: "string"
default: "0.0"
description: "Level 2.X.X data to be returned"
- in: path
name: doc_id
required: false
type: "string"
description: "If one document is needed, and the id known, fill this in."
- in: query
name: find
required: false
type: json
description: mongo query object https://docs.mongodb.com/manual/tutorial/query-documents/
- in: query
name: fields
required: false
type: json
description: mongo fields object https://docs.mongodb.com/manual/tutorial/project-fields-from-query-results/
- in: query
name: sort
required: false
type: json
description: mongo query object https://mongodb.github.io/node-mongodb-native/markdown-docs/queries.html#query-options
- in: query
name: limit
required: false
type: integer
format: int32
description: max number of records to return https://mongodb.github.io/node-mongodb-native/markdown-docs/queries.html#query-options
- in: query
name: skip
required: false
type: json
description: mongo query object https://mongodb.github.io/node-mongodb-native/markdown-docs/queries.html#query-options
- in: query
name: maxTimeMS
required: false
type: integer
format: int32
description: max amount of time to wait for query return https://mongodb.github.io/node-mongodb-native/driver-articles/anintroductionto1_4_and_2_6.html#maxtimems
responses:
200:
description: Some number of name data objects
schema:
type: array
items:
$ref: '#/definitions/names_json'
/db/1.0.0/1.{level}/{doc_id}:
get:
tags:
- Database
description: returns all data for a given {level} that matches either {doc_id} or the query
operationId: getDevices
parameters:
- in: path
name: level
required: true
type: "string"
default: "0.0"
description: "Level 1.X.X data to be returned"
- in: path
name: doc_id
required: false
type: "string"
description: "If one document is needed, and the id known, fill this in."
- in: query
name: find
required: false
type: json
description: mongo query object https://docs.mongodb.com/manual/tutorial/query-documents/
- in: query
name: fields
required: false
type: json
description: mongo fields object https://docs.mongodb.com/manual/tutorial/project-fields-from-query-results/
- in: query
name: sort
required: false
type: json
description: mongo query object https://mongodb.github.io/node-mongodb-native/markdown-docs/queries.html#query-options
- in: query
name: limit
required: false
type: integer
format: int32
description: max number of records to return https://mongodb.github.io/node-mongodb-native/markdown-docs/queries.html#query-options
- in: query
name: skip
required: false
type: json
description: mongo query object https://mongodb.github.io/node-mongodb-native/markdown-docs/queries.html#query-options
- in: query
name: maxTimeMS
required: false
type: integer
format: int32
description: max amount of time to wait for query return https://mongodb.github.io/node-mongodb-native/driver-articles/anintroductionto1_4_and_2_6.html#maxtimems
responses:
200:
description: Some number of level 1 data objects
schema:
type: array
items:
$ref: '#/definitions/Level_1_json'
/db/1.0.0/2.{level}/{doc_id}:
get:
tags:
- Database
description: returns all data for a given {level} that matches either {doc_id} or the query
operationId: getDevices
parameters:
- in: path
name: level
required: true
type: "string"
default: "0.0"
description: "Level 2.X.X data to be returned"
- in: path
name: doc_id
required: false
type: "string"
description: "If one document is needed, and the id known, fill this in."
- in: query
name: find
required: false
type: json
description: mongo query object https://docs.mongodb.com/manual/tutorial/query-documents/
- in: query
name: fields
required: false
type: json
description: mongo fields object https://docs.mongodb.com/manual/tutorial/project-fields-from-query-results/
- in: query
name: sort
required: false
type: json
description: mongo query object https://mongodb.github.io/node-mongodb-native/markdown-docs/queries.html#query-options
- in: query
name: limit
required: false
type: integer
format: int32
description: max number of records to return https://mongodb.github.io/node-mongodb-native/markdown-docs/queries.html#query-options
- in: query
name: skip
required: false
type: json
description: mongo query object https://mongodb.github.io/node-mongodb-native/markdown-docs/queries.html#query-options
- in: query
name: maxTimeMS
required: false
type: integer
format: int32
description: max amount of time to wait for query return https://mongodb.github.io/node-mongodb-native/driver-articles/anintroductionto1_4_and_2_6.html#maxtimems
responses:
200:
description: Some number of level 2 data objects
schema:
type: array
items:
$ref: '#/definitions/Level_2_json'
definitions:
names_json:
type: object
properties:
cyles:
type: array
description: cycle number of each image
items:
type: number
format: int
exposures:
type: array
description: exposure time of each image
items:
type: number
format: int
level:
type: string
value: "name"
name:
type: string
description: "Barcode_arr combination"
_id:
type: string
description: "uuid generated to be identical for each level"
peptides:
type: array
description: "list of peptides on chip"
items:
type: array
description: meta data array
items:
type: object
description: meta data object
properties:
key:
type: string
value:
type: string
run_data:
type: array
description: meta data array for run data, should be generate by every run
items:
type: object
properties:
key:
type: string
value:
type: string | array
description: "If entry is same for every image taken then it is a single string. Otherwise it is an array of strings."
origin:
type: string
description: only occurs if signal file and background file generate different values for a given key.
sample_data:
type: array
description: meta data array for samples
items:
type: object
properties:
key:
type: string
value:
type: string
description: "Name object"
Level_1_json:
type: object
properties:
background:
type: array
description: "background values for each image/peptide"
items:
type: array
description: "For each image captured"
items:
type: number
format: double
description: "For each spot/peptide on chip"
background_valid:
type: array
description: "background valid for each image/peptide ?"
items:
type: array
description: "For each image captured"
items:
type: boolean
description: "For each spot/peptide on chip"
signal:
type: array
description: "signal values for each image/peptide"
items:
type: array
description: "For each image captured"
items:
type: number
format: double
description: "For each spot/peptide on chip"
signal_valid:
type: array
description: "signal valid for each image/peptide ?"
items:
type: array
description: "For each image captured"
items:
type: boolean
description: "For each spot/peptide on chip"
cyles:
type: array
description: cycle number of each image
items:
type: number
format: int
exposures:
type: array
description: exposure time of each image
items:
type: number
format: int
level:
type: string
description: "data level, 1.0.0; 1.0.1 etc"
name:
type: string
description: "Barcode_arr combination"
_id:
type: string
description: "uuid generated to be identical for each level"
peptides:
type: array
description: "list of peptides on chip"
items:
type: array
description: meta data array
items:
type: object
description: meta data object
properties:
key:
type: string
value:
type: string
run_data:
type: array
description: meta data array for run data, should be generate by every run
items:
type: object
properties:
key:
type: string
value:
type: string | array
description: "If entry is same for every image taken then it is a single string. Otherwise it is an array of strings."
origin:
type: string
description: only occurs if signal file and background file generate different values for a given key.
sample_data:
type: array
description: meta data array for samples
items:
type: object
properties:
key:
type: string
value:
type: string
description: "Level 1 object"
Level_2_json:
type: object
properties:
kinetic:
type: object
properties:
exposures:
type: array
description: "All exposures that were utilited to create kinetic models, typically just 50ms."
items:
type: number
equation_string:
type: string
description: "'eval'-able string to resolve the equation object used to generate the parameterization."
background:
type: array
description: "background values for each image series"
items:
type: array
description: "For each peptide series captured"
items:
type: object
properties:
R2:
type: number
description: "R2 of the corresponding kinetic model"
WW:
type: number
description: "Wald-Wolfowitz p-value for the randomness of the residuals (higher = more random)"
paramters:
type: array
description: "Parameterization of curve fit"
items:
type: number
signal:
type: array
description: "background values for each image series"
items:
type: array
description: "For each peptide series captured"
items:
type: object
properties:
R2:
type: number
description: "R2 of the corresponding kinetic model"
WW:
type: number
description: "Wald-Wolfowitz p-value for the randomness of the residuals (higher = more random)"
paramters:
type: array
description: "Parameterization of curve fit"
items:
type: number
linear:
type: object
properties:
cycles:
type: array
description: "All cycle numbers that were utilited to create linear models, typically just post-wash."
items:
type: number
background:
type: array
description: "background values for each image series"
items:
type: array
description: "For each peptide series captured"
items:
type: object
properties:
R2:
type: number
description: "R2 of the corresponding kinetic model"
paramters:
type: array
description: "Parameterization of curve fit"
items:
type: number
signal:
type: array
description: "background values for each image series"
items:
type: array
description: "For each peptide series captured"
items:
type: object
properties:
R2:
type: number
description: "R2 of the corresponding kinetic model"
paramters:
type: array
description: "Parameterization of curve fit"
items:
type: number
level:
type: string
description: "data level, 1.0.0; 1.0.1 etc"
name:
type: string
description: "Barcode_arr combination"
_id:
type: string
description: "uuid generated to be identical for each level"
peptides:
type: array
description: "list of peptides on chip"
items:
type: array
description: meta data array
items:
type: object
description: meta data object
properties:
key:
type: string
value:
type: string
run_data:
type: array
description: meta data array for run data, should be generate by every run
items:
type: object
properties:
key:
type: string
value:
type: string
description: "If entry is same for every image taken then it is a single string and is kept. Otherwise it does not transfer to level 2."
origin:
type: string
description: only occurs if signal file and background file generate different values for a given key.
sample_data:
type: array
description: meta data array for samples
items:
type: object
properties:
key:
type: string
value:
type: string
description: "Level 2 object"
# Added by API Auto Mocking Plugin
host: db.kinomecore.com
basePath: /db/1.0.0
schemes:
- http