Provided by: libbio-perl-perl_1.6.901-2_all
Bio::DB::GFF::Adaptor::dbi::oracle -- Database adaptor for a specific oracle schema
This adaptor implements a specific oracle database schema that is compatible with Bio::DB::GFF. It inherits from Bio::DB::GFF::Adaptor::dbi, which itself inherits from Bio::DB::GFF. The schema uses several tables: fdata This is the feature data table. Its columns are: fid feature ID (integer) fref reference sequence name (string) fstart start position relative to reference (integer) fstop stop postion relative to reference (integer) ftypeid feature type ID (integer) fscore feature score (float); may be null fstrand strand; one of "+" or "-"; may be null fphase phase; one of 0, 1 or 2; may be null gid group ID (integer) ftarget_start for similarity features, the target start position (integer) ftarget_stop for similarity features, the target stop position (integer) Note that it would be desirable to normalize the reference sequence name, since there are usually many features that share the same reference feature. However, in the current schema, query performance suffers dramatically when this additional join is added. fgroup This is the group table. There is one row for each group. Columns: gid the group ID (integer) gclass the class of the group (string) gname the name of the group (string) The group table serves multiple purposes. As you might expect, it is used to cluster features that logically belong together, such as the multiple exons of the same transcript. It is also used to assign a name and class to a singleton feature. Finally, the group table is used to identify the target of a similarity hit. This is consistent with the way in which the group field is used in the GFF version 2 format. The fgroup.gid field joins with the fdata.gid field. Examples: sql> select * from fgroup where gname='sjj_2L52.1'; +-------+-------------+------------+ | gid | gclass | gname | +-------+-------------+------------+ | 69736 | PCR_product | sjj_2L52.1 | +-------+-------------+------------+ 1 row in set (0.70 sec) sql> select fref,fstart,fstop from fdata,fgroup where gclass='PCR_product' and gname = 'sjj_2L52.1' and fdata.gid=fgroup.gid; +---------------+--------+-------+ | fref | fstart | fstop | +---------------+--------+-------+ | CHROMOSOME_II | 1586 | 2355 | +---------------+--------+-------+ 1 row in set (0.03 sec) ftype This table contains the feature types, one per row. Columns are: ftypeid the feature type ID (integer) fmethod the feature type method name (string) fsource the feature type source name (string) The ftype.ftypeid field joins with the fdata.ftypeid field. Example: sql> select fref,fstart,fstop,fmethod,fsource from fdata,fgroup,ftype where gclass='PCR_product' and gname = 'sjj_2L52.1' and fdata.gid=fgroup.gid and fdata.ftypeid=ftype.ftypeid; +---------------+--------+-------+-------------+-----------+ | fref | fstart | fstop | fmethod | fsource | +---------------+--------+-------+-------------+-----------+ | CHROMOSOME_II | 1586 | 2355 | PCR_product | GenePairs | +---------------+--------+-------+-------------+-----------+ 1 row in set (0.08 sec) fdna This table holds the raw DNA of the reference sequences. It has three columns: fref reference sequence name (string) foffset offset of this sequence fdna the DNA sequence (longblob) To overcome problems loading large blobs, DNA is automatically fragmented into multiple segments when loading, and the position of each segment is stored in foffset. The fragment size is controlled by the -clump_size argument during initialization. fattribute_to_feature This table holds "attributes", which are tag/value pairs stuffed into the GFF line. The first tag/value pair is treated as the group, and anything else is treated as an attribute (weird, huh?). CHR_I assembly_tag Finished 2032 2036 . + . Note "Right: cTel33B" CHR_I assembly_tag Polymorphism 668 668 . + . Note "A->C in cTel33B" The columns of this table are: fid feature ID (integer) fattribute_id ID of the attribute (integer) fattribute_value text of the attribute (text) The fdata.fid column joins with fattribute_to_feature.fid. fattribute This table holds the normalized names of the attributes. Fields are: fattribute_id ID of the attribute (integer) fattribute_name Name of the attribute (varchar) Data Loading Methods In addition to implementing the abstract SQL-generating methods of Bio::DB::GFF::Adaptor::dbi, this module also implements the data loading functionality of Bio::DB::GFF. new Title : new Usage : $db = Bio::DB::GFF->new(@args) Function: create a new adaptor Returns : a Bio::DB::GFF object Args : see below Status : Public The new constructor is identical to the "dbi" adaptor's new() method, except that the prefix "dbi:oracle" is added to the database DSN identifier automatically if it is not there already. Argument Description -------- ----------- -dsn the DBI data source, e.g. 'dbi:mysql:ens0040' or "ens0040" -user username for authentication -pass the password for authentication schema Title : schema Usage : $schema = $db->schema Function: return the CREATE script for the schema Returns : a list of CREATE statemetns Args : none Status : protected This method returns a list containing the various CREATE statements needed to initialize the database tables. do_initialize Title : do_initialize Usage : $success = $db->do_initialize($drop_all) Function: initialize the database Returns : a boolean indicating the success of the operation Args : a boolean indicating whether to delete existing data Status : protected This method will load the schema into the database. If $drop_all is true, then any existing data in the tables known to the schema will be deleted. Internally, this method calls schema() to get the schema data. drop_all Title : drop_all Usage : $db->drop_all Function: empty the database Returns : void Args : none Status : protected This method drops the tables known to this module. Internally it calls the abstract tables() method. setup_load Title : setup_load Usage : $db->setup_load Function: called before load_gff_line() Returns : void Args : none Status : protected This method performs schema-specific initialization prior to loading a set of GFF records. It prepares a set of DBI statement handlers to be used in loading the data. load_gff_line Title : load_gff_line Usage : $db->load_gff_line($fields) Function: called to load one parsed line of GFF Returns : true if successfully inserted Args : hashref containing GFF fields Status : protected This method is called once per line of the GFF and passed a series of parsed data items that are stored into the hashref $fields. The keys are: ref reference sequence source annotation source method annotation method start annotation start stop annotation stop score annotation score (may be undef) strand annotation strand (may be undef) phase annotation phase (may be undef) group_class class of annotation's group (may be undef) group_name ID of annotation's group (may be undef) target_start start of target of a similarity hit target_stop stop of target of a similarity hit attributes array reference of attributes, each of which is a [tag=>value] array ref get_table_id Title : get_table_id Usage : $integer = $db->get_table_id($table,@ids) Function: get the ID of a group or type Returns : an integer ID or undef Args : none Status : private This internal method is called by load_gff_line to look up the integer ID of an existing feature type or group. The arguments are the name of the table, and two string identifiers. For feature types, the identifiers are the method and source. For groups, the identifiers are group name and class. This method requires that a statement handler named lookup_$table, have been created previously by setup_load(). It is here to overcome deficiencies in mysql's INSERT syntax. search_notes Title : search_notes Usage : @search_results = $db->search_notes("full text search string",$limit) Function: Search the notes for a text string, using mysql full-text search Returns : array of results Args : full text search string, and an optional row limit Status : public This is a mysql-specific method. Given a search string, it performs a full-text search of the notes table and returns an array of results. Each row of the returned array is a arrayref containing the following fields: column 1 A Bio::DB::GFF::Featname object, suitable for passing to segment() column 2 The text of the note column 3 A relevance score. column 4 A Bio::DB::GFF::Typename object make_meta_set_query Title : make_meta_set_query Usage : $sql = $db->make_meta_set_query Function: return SQL fragment for setting a meta parameter Returns : SQL fragment Args : none Status : public By default this does nothing; meta parameters are not stored or retrieved.