Difference between revisions of "BIRDQL"

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==[[BIRDQL]] Biological Query Language ==
 
==[[BIRDQL]] Biological Query Language ==
 
===BIRDQL in few words===
 
===BIRDQL in few words===
−
The heterogeneous data integrated in [[BIRD]] System are represented by several relational tables. The exploitation of these data by SQL queries is not obvious except for developers or computer scientist experts.  
+
This query language is conceived by Hoan Nguyen[http://lbgi.igbmc.fr/~nguyen/].
 +
 
 +
The heterogeneous data integrated in integrator system or [[BIRD]] System are represented by several relational tables. The exploitation of these data by SQL queries is not obvious except for developers or computer scientist experts.  
  
 
Building queries with SQL in this context is not easy with because that requires to use joins (terme technique) to select data in multiple tables. This complexity must be hidden by HTML forms but a lot of queries can not be setup with HTML forms.  
 
Building queries with SQL in this context is not easy with because that requires to use joins (terme technique) to select data in multiple tables. This complexity must be hidden by HTML forms but a lot of queries can not be setup with HTML forms.  
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We proposes own query language (BIRDQL), there is new standard biological query language allowing the biologist or clinician to create data retrieval protocols without exhaustive knowledge of the data sources and their architecture. BIRD System is driven with a high level query engine: BIRDQL, which makes it possible for biologists to express easily queries and to extract knowledge by classical constraints and scientific functions (StructuralDistance,SequencePattern,AssociationRule...).  
 
We proposes own query language (BIRDQL), there is new standard biological query language allowing the biologist or clinician to create data retrieval protocols without exhaustive knowledge of the data sources and their architecture. BIRD System is driven with a high level query engine: BIRDQL, which makes it possible for biologists to express easily queries and to extract knowledge by classical constraints and scientific functions (StructuralDistance,SequencePattern,AssociationRule...).  
  
−
BIRDQL in not a mathematically complete language but indeed an idiom adpated to the GUI, human readable enough to be modified by hand. The construction of this BIRDQL query engine was used some main idea from SaadaQL [http://amwdb.u-strasbg.fr/saada/spip.php?article52]
+
BIRDQL in not a mathematically complete language but indeed an idiom adpated to the GUI, human readable enough to be modified by hand. The construction of this BIRDQL query engine was used some main idea from SaadaQL [http://amwdb.u-strasbg.fr/saada/spip.php?article52]. SaadaQL query language was developed in the framework of my PhD ( Astrophysics & Virtual Observatory  ,2002-2005) at university of Strasbourg.
  
 
Data can be selected with [[BIRD Data Access Protocol]]
 
Data can be selected with [[BIRD Data Access Protocol]]
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WH  PATTERN <function AssociationRule()>
 
WH  PATTERN <function AssociationRule()>
  
−
FD   <[http://bird.u-strasbg.fr:8080/bird/bsearch?service=metadata&db=all <Field out>]>
+
WH   SQLNative select  from ...
  
−
LM  <n>
+
FD  <[http://bird.u-strasbg.fr:8080/bird/bsearch?service=metadata&db=all Field out1,Field out2,...] / GET_COUNT/GET_DR(bankname)>
 +
 
 +
OF  <OFFSET, Default OF=0>
 +
 
 +
LM  <number of maximum display>
  
 
FM  <Fasta/Flat/Xml/CSV/Simple/Object/OID>
 
FM  <Fasta/Flat/Xml/CSV/Simple/Object/OID>
Line 39: Line 45:
 
Data can be selected with [[BIRD Data Access Protocol]]
 
Data can be selected with [[BIRD Data Access Protocol]]
  
−
Two other examples below also show how to use the BIRD-QL syntax.
 
  
−
'''Example 1''': simple query, search and fasta format generation
+
Examples below also show how to use the BIRD-QL syntax.
 +
 
 +
 
 +
'''Example ''': simple query, Full Text search
 +
 
 +
 
 +
ID * DB MSV3d (Missense Variant Database)
 +
 
 +
WH TEXT contains "DMD"
 +
 
 +
FD ID
 +
 
 +
LM 100
 +
 
 +
FM JSON
 +
 
 +
Result
 +
 
 +
 
 +
//
 +
 
 +
'''Example ''': simple query, search and fasta format generation
  
  
 
ID * DB UNIPROT
 
ID * DB UNIPROT
  
−
WH DE contains "synthetase" & "tyrosyl"
+
WH TEXT contains "synthetase" & "tyrosyl" & not ("homo sapiens" & "human")
  
−
WH OX contains 382
+
FD AC, ID,DE,OX,SQ
  
−
FD AC, ID,DE,OX,SQ
+
LM 100
  
 
FM FASTA
 
FM FASTA
−
 
  
 
Result
 
Result
Line 61: Line 86:
 
MSEFKSDFLHTLSERGFIHQTSDDAGLDQLFRTETVTAYIGFDPTAASLHAGGLIQIMMLHWLQATGHRPISLMGGGTGMVGDPSFKDEARQLMTPETI...
 
MSEFKSDFLHTLSERGFIHQTSDDAGLDQLFRTETVTAYIGFDPTAASLHAGGLIQIMMLHWLQATGHRPISLMGGGTGMVGDPSFKDEARQLMTPETI...
  
 +
//
 +
 +
 +
 +
'''Example ''': DBSNP
 +
 +
 +
'''Example ''':
 +
 +
get  DBSNP in XML by ID
 +
 +
//
 +
 +
ID 268 DB DBSNP
 +
 +
 +
 +
find snp by position
 +
 +
//
 +
 +
ID * DB DBSNP
 +
 +
WH SQLNative select id from dbsnp_ds_ch3.fulltext where XMLEXISTS('$i/Rs/Assembly/Component/MapLoc[@physMapInt=30466018] ' passing text as "i")
 +
 +
LM 1000
 +
 +
FM FLAT
 +
 +
'''Example ''': find snp by position
 +
 +
ID * DB DBSNP
 +
WH SQLNative select id from dbsnp_ds_ch18.fulltext where XMLEXISTS('$i/Rs/Assembly/Component/MapLoc[@physMapInt>=30466000 and @physMapInt<=30466200 ] ' passing text as "i")
 +
FM FLAT
 +
//
 +
 +
 +
 +
'''Example ''': find snp by position and reference sequence (GRCh37.p5)
 +
 +
 +
ID * DB  DBSNP
 +
WH SQLNative Select ID from dbsnp_ds_ch8.fulltext where XMLEXISTS('$i/Rs/Assembly/Component/MapLoc[@physMapInt=19817621 and ../../@groupLabel="GRCh37.p5"] ' passing text as "i")
 +
FM FLAT
 +
//
 +
 +
 +
//
  
 +
ID  * DB UNIPROT
  
−
'''Example 2''': FullText query (TEXT=definition, organism scientific organism common, dbref,..)
+
WH TEXT contains "histone" & not "homo sapiens"
  
−
ID * DB REFSEQ
+
FD AC,DE,OS
  
−
WH TEXT Contains "Tyrosyl-tRNA synthetase" & "Homo sapiens"
+
LM 3
  
−
LM 100
+
FM FLAT
 +
 
 +
//
  
−
FM FASTA
+
ID  * DB UNIPROT
  
 +
WH TEXT contains  not "homo sapiens"
  
 +
FD AC,DE,OS
  
 +
LM 3
  
−
'''Example 2''': complex query
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'''Example 2''': complex query, GBFULL=EST+ WGS +Release +New
  
−
ID * DB GENBANK, REFSEQ
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ID * DB GBFULL
  
 
WH OC Contains "Eukaryote"
 
WH OC Contains "Eukaryote"
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FM FASTA
 
FM FASTA
  
−
The query above allow to search in Genbank and RefSeq, the Eucaryotic sequences containing the GF100027 gene with a cross reference in GeneOntology.
+
The query above allow to search in Genbank full, the Eucaryotic sequences containing the GF100027 gene with a cross reference in GeneOntology.
  
−
'''Example 3''': mining in EST
+
'''Example 3''': mining in GENBANK EST
  
 
ID * DB GBEST
 
ID * DB GBEST
Line 104: Line 183:
 
FM FLAT
 
FM FLAT
  
−
'''Example 4''': Mining in EST
+
'''Example 4''': Mining in GENBANK EST
  
 
ID CJ133635,CJ133593,CJ133659 DB GBEST
 
ID CJ133635,CJ133593,CJ133659 DB GBEST
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ID * DB PDB
 
ID * DB PDB
  
−
WH DE contains "ERYTHRINA CORALLODENDRON LECTIN IN COMPLEX"
+
WH TEXT contains "DMD" & "ERYTHRINA CORALLODENDRON"
−
 
 
−
WH OS contains "ERYTHRINA CORALLODENDRON"
 
−
 
 
−
WH RESO contains 1.90
 
  
 
LM 10
 
LM 10
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ID * DB PDB
 
ID * DB PDB
  
−
WH CL contains "METAL BINDING PROTEIN"
+
WH TEXT contains "METAL BINDING PROTEIN" & "LACTOFERRIN"
−
 
 
−
WH DE contains "LACTOFERRIN"
 
  
 
WH FUNCTION Diagnonal3D()>125
 
WH FUNCTION Diagnonal3D()>125
Line 168: Line 241:
  
 
ID * DB PDB
 
ID * DB PDB
−
WH CL contains "METAL BINDING PROTEIN"
 
  
−
WH DE contains "LACTOFERRIN"
+
WH TEXT "METAL BINDING PROTEIN" & "LACTOFERRIN"
  
 
WH FUNCTION Diagnonal3D()>125
 
WH FUNCTION Diagnonal3D()>125
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'''Example 7''': rmining in EVI Genoret Database
 
  
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ID * DB EVImm
 
  
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WH text CONTAINS "retina"
 
  
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FD GET_COUNT
+
'''Example 7''': Get GENE ONTOLOGY or DBREF
−
 
 
−
FM CSV
 
−
 
 
−
//
 
−
 
 
−
ID * DB EVImm
 
−
 
 
−
WH text CONTAINS "retina"
 
−
 
 
−
LM 10
 
−
 
 
−
FD NOM,VALIDEPROT
 
−
 
 
−
FM CSV
 
−
 
 
−
//
 
−
 
 
−
ID * DB EVImm
 
−
 
 
−
WH text CONTAINS "retina"
 
−
 
 
−
LM 10
 
−
 
 
−
FD NOM,VALIDEPROT
 
−
 
 
−
FM FLAT
 
−
 
 
−
//
 
−
 
 
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ID * DB EVImm
 
−
 
 
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WH text CONTAINS "retina" & "chr6:127091327-127116667"
 
−
 
 
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LM 10
 
−
 
 
−
FM XML
 
−
 
 
−
 
 
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'''Example 8''': running SQL Native (authorized user)
 
−
 
 
−
ID * DB STRING
 
−
 
 
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WH SQLNATIVE select * from items.proteins
 
−
 
 
−
Limit 100
 
−
 
 
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FM CSV
 
−
 
 
−
 
 
−
'''Example 9''': SAGE Data (or MYGEO [http://bird.u-strasbg.fr:8080/bird/temp/mygeoschema.pdf]) (authorized user)
 
−
 
 
−
 
 
−
ID * DB MYGEO
 
−
 
 
−
WH SQLNATIVE select sample_id,tag,count from MYGEO.entry_sage where tag='GTGAAACCCC'
 
−
 
 
−
LM 500
 
−
 
 
−
FM CSV
 
−
 
 
−
==> results
 
−
 
 
−
GSM1|GTGAAACCCC|63
 
−
 
 
−
GSM2|GTGAAACCCC|76
 
−
 
 
−
GSM571|GTGAAACCCC|13
 
−
 
 
−
GSM572|GTGAAACCCC|395
 
−
 
 
−
GSM573|GTGAAACCCC|359
 
−
 
 
−
GSM574|GTGAAACCCC|286
 
−
 
 
−
GSM668|GTGAAACCCC|132
 
−
 
 
−
GSM669|GTGAAACCCC|129
 
−
 
 
−
GSM670|GTGAAACCCC|112
 
−
 
 
−
 
 
−
//
 
−
 
 
−
ID * DB MYGEO
 
−
 
 
−
WH SQLNATIVE select e.sample_id,e.tag,e.count from MYGEO.entry_sage as e, MYGEO.sample as h where  (h.ac=e.sample_id  and tag='GTGAAACCCC') and h.platform_id='GPL4' and count between 1 and 3
 
−
 
 
−
LM 1000
 
−
 
 
−
FM CSV
 
−
 
 
−
 
 
−
Results
 
−
 
 
−
GSM135388|GTGAAACCCC|1|GPL4
 
−
 
 
−
 
 
−
//
 
−
 
 
−
ID * DB MYGEO
 
−
 
 
−
WH SQLNATIVE select sample_id,tag,count from MYGEO.entry_sage where tag='GTGAAACCCC' and count between 1 and 3
 
−
 
 
−
LM 1000
 
−
 
 
−
FM CSV
 
−
 
 
−
 
 
−
'''Example 10''': Association rules (authorized user)
 
−
 
 
−
ID * DB protein_interaction
 
−
 
 
−
WH PATTERN AssociationPattern(Right(protA,ProtB,ProtC),Left(ProtK),sup=30,conf=90))
 
−
 
 
−
FD ID,Rules
 
−
 
 
−
FM FLAT
 
−
 
 
−
 
 
−
'''Example 11''': Get GENE ONTOLOGY or DBREF
 
  
 
ID Q32437 DB UNIPROT
 
ID Q32437 DB UNIPROT
Line 359: Line 308:
 
     AC  Q34215;
 
     AC  Q34215;
 
     DR  Pfam; PF00033; Cytochrom_B_N; 1.
 
     DR  Pfam; PF00033; Cytochrom_B_N; 1.
 +
 +
 +
 +
 +
 +
 +
 +
 +
 +
  
  
 
[[Category:Bird_project]]
 
[[Category:Bird_project]]

Latest revision as of 10:04, 10 March 2014

BIRDQL Biological Query Language

BIRDQL in few words

This query language is conceived by Hoan Nguyen[1].

The heterogeneous data integrated in integrator system or BIRD System are represented by several relational tables. The exploitation of these data by SQL queries is not obvious except for developers or computer scientist experts.

Building queries with SQL in this context is not easy with because that requires to use joins (terme technique) to select data in multiple tables. This complexity must be hidden by HTML forms but a lot of queries can not be setup with HTML forms.

We proposes own query language (BIRDQL), there is new standard biological query language allowing the biologist or clinician to create data retrieval protocols without exhaustive knowledge of the data sources and their architecture. BIRD System is driven with a high level query engine: BIRDQL, which makes it possible for biologists to express easily queries and to extract knowledge by classical constraints and scientific functions (StructuralDistance,SequencePattern,AssociationRule...).

BIRDQL in not a mathematically complete language but indeed an idiom adpated to the GUI, human readable enough to be modified by hand. The construction of this BIRDQL query engine was used some main idea from SaadaQL [2]. SaadaQL query language was developed in the framework of my PhD ( Astrophysics & Virtual Observatory ,2002-2005) at university of Strasbourg.

Data can be selected with BIRD Data Access Protocol

BIRDQL Grammar

ID <list of id/ac/query_id > DB <bank names>

WH <Field> Contains <(kw1 & kw2) | kw_n>

WH PATTERN <function SequencePattern() >

WH PATTERN <function DiagonalMolecule()>

WH PATTERN <function InteractionProtein()>

WH PATTERN <function AssociationRule()>

WH SQLNative select from ...

FD <Field out1,Field out2,... / GET_COUNT/GET_DR(bankname)>

OF <OFFSET, Default OF=0>

LM <number of maximum display>

FM <Fasta/Flat/Xml/CSV/Simple/Object/OID>


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BIRDQL example

Data can be selected with BIRD Data Access Protocol


Examples below also show how to use the BIRD-QL syntax.


Example : simple query, Full Text search


ID * DB MSV3d (Missense Variant Database)

WH TEXT contains "DMD"

FD ID

LM 100

FM JSON

Result


//

Example : simple query, search and fasta format generation


ID * DB UNIPROT

WH TEXT contains "synthetase" & "tyrosyl" & not ("homo sapiens" & "human")

FD AC, ID,DE,OX,SQ

LM 100

FM FASTA

Result


>Q92PK5 | SYY_RHIME | Tyrosyl-tRNA synthetase (EC 6.1.1.1) (Tyrosine--tRNA ligase) (TyrRS). | 382 MSEFKSDFLHTLSERGFIHQTSDDAGLDQLFRTETVTAYIGFDPTAASLHAGGLIQIMMLHWLQATGHRPISLMGGGTGMVGDPSFKDEARQLMTPETI...

//


Example : DBSNP


Example :

get DBSNP in XML by ID

//

ID 268 DB DBSNP


find snp by position

//

ID * DB DBSNP

WH SQLNative select id from dbsnp_ds_ch3.fulltext where XMLEXISTS('$i/Rs/Assembly/Component/MapLoc[@physMapInt=30466018] ' passing text as "i")

LM 1000

FM FLAT

Example : find snp by position

ID * DB DBSNP WH SQLNative select id from dbsnp_ds_ch18.fulltext where XMLEXISTS('$i/Rs/Assembly/Component/MapLoc[@physMapInt>=30466000 and @physMapInt<=30466200 ] ' passing text as "i") FM FLAT //


Example : find snp by position and reference sequence (GRCh37.p5)


ID * DB DBSNP WH SQLNative Select ID from dbsnp_ds_ch8.fulltext where XMLEXISTS('$i/Rs/Assembly/Component/MapLoc[@physMapInt=19817621 and ../../@groupLabel="GRCh37.p5"] ' passing text as "i") FM FLAT //


//

ID * DB UNIPROT

WH TEXT contains "histone" & not "homo sapiens"

FD AC,DE,OS

LM 3

FM FLAT

//

ID * DB UNIPROT

WH TEXT contains not "homo sapiens"

FD AC,DE,OS

LM 3

Example 2: complex query, GBFULL=EST+ WGS +Release +New

ID * DB GBFULL

WH OC Contains "Eukaryote"

WH DR Contains "GO"

WH GENE contains "GF100027"

FM FASTA

The query above allow to search in Genbank full, the Eucaryotic sequences containing the GF100027 gene with a cross reference in GeneOntology.

Example 3: mining in GENBANK EST

ID * DB GBEST

WH TISSUE_TYPE contains "retina"

WH DEV_STAGE contains "adult"

LM 100

FD AC,DE,OX,OC,tissue_type,dev_stage,chr

FM FLAT

Example 4: Mining in GENBANK EST

ID CJ133635,CJ133593,CJ133659 DB GBEST

WH DE contains "AMINOTRANSFERASE"

WH OC contains "Eukaryota" & not "Metazoa"

WH TISSUE_TYPE contains "retina"

FD AC,DE,OX,OC,tissue_type,dev_stage,chr

FM FLAT


Example 5: Mining in EST

ID * DB GBEST

WH TISSUE_TYPE contains "colon"

WH DEV_STAGE contains "adult"

LM 100

FD AC,DE,OX,OC,tissue_type,dev_stage,chr,os

FM FLAT


Example 6: Mining In PDB

ID * DB PDB

WH TEXT contains "DMD" & "ERYTHRINA CORALLODENDRON"

LM 10

FM FASTA


//

ID * DB PDB

WH TEXT contains "METAL BINDING PROTEIN" & "LACTOFERRIN"

WH FUNCTION Diagnonal3D()>125

FUZZY 100

LM 100

FM FASTA

//

ID * DB PDB

WH TEXT "METAL BINDING PROTEIN" & "LACTOFERRIN"

WH FUNCTION Diagnonal3D()>125

FUZZY 100

LM 100

FM SIMPLE


//

ID * DB PDB

WH CL contains "METAL BINDING PROTEIN"

WH DE contains "LACTOFERRIN"

WH FUNCTION Diagnonal3D()>125


LM 10

FM FLAT


//

ID * DB PDB

WH CL contains "METAL BINDING PROTEIN"

WH DE contains "LACTOFERRIN"

WH FUNCTION Diagnonal3D()>125

FD GET_COUNT

FM FLAT



Example 7: Get GENE ONTOLOGY or DBREF

ID Q32437 DB UNIPROT

FD AC,DR(GO)

//

ID Q34215 DB UNIPROT FD AC,DR(InterPro)


>>Result: 

   AC   Q32437;
   DR   GO; GO:0009507; C:chloroplast; IEA:InterPro.
   DR   GO; GO:0016021; C:integral to membrane; IEA:UniProtKB-KW.
   ......
   //
   AC   Q34215;
   DR   Pfam; PF00033; Cytochrom_B_N; 1.
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