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# SQLite Command Options
The `mirtop sql` package allows users to create and query a SQLite database using GFF3 file format as input. This option creates a database with two tables such as summary and data\_sets. The summary table contains the header portion of the gff file and data\_sets contains the body of the gff containing the rest of the information related to miRNAs.
Use `mirtop sql -h` to display help information
```
mirtop sql -h
```
SQL arguments:
```
['sql', '-h']
usage: mirtop sql [-h] [--db] (-c | -q) [--gff] [-o] [-t] [-txto] [-col] [-n]
[-miR] [-var] [-f] [-l] [-e] [-d] [-vd]
optional arguments:
-h, --help show this help message and exit
--db SQL Database name. (default: mirtop.db)
-c, --create Creates a SQLite database from GFF
-q, --query Query from a SQLite database
-d, --debug max verbosity mode
-vd, --print_debug print debug messages on terminal
SQL create usage mode:
--gff GFF file with precursor and mature position to genome
-o , --out Directory of output files
SQL query usage mode:
-t , --table Specify table name to use
-txto , --txtout Writes the output of the query to a file speficied. Format (-fmt) is a tab-delimited text file by default
-col , --columns Select specific columns from the table to display (Default: all columns), or use with -n option to return n-counts. For information of the available columns see 'show-schema' or 'show-columns'. NOTE: option -e select must be applied!
-n , --count Returns 'n' counts for the query. Options 'T' for True, if not 'F' (Default: -n F). NOTE: option -e select must be applied and accepts only one column from -col option.
-miR , --miRNA Specify the miRNA names to query. For multiple miRNAs use comma(,) as separator; or supply a text file (.txt) separated with a new line character.
-pm , --miRNA_prefix (3 digit species code, ex. hsa)
Specify the prefix name for miRNAs to query. Example: -pm hsa -miR let-7a-5p results into querying hsa-let-7a-5p.
-var , --variant Specify one or more types of variants to query. Use comma(,) as separator
The following choices are supported:
iso_5p - indicates the shift at the reference 5' miRNA
iso_3p - indicates the shift at the reference 3' miRNA
iso_add3p - Number of non-template nucleotides added at 3p
iso_add5p - Number of non-template nucleotides added at 5p
iso_snv_seed - when affected nucleotides are between [2-7]
iso_snv_central_offset - when affected nucleotide is at position [8]
iso_snv_central - when affected nucleotides are between [9-12]
iso_snv_central_supp - when affected nucleotides are between [13-17]
iso_snv - anything else
-f , --filter Specify Filter tag attribute. Options: Pass, Reject. (Default: None)
-l , --limit Specify the number of rows to output. (Example: --limit 30, to limit the first 30 rows)
-e , --expr Expression is the query that you want to run; (-e "<statement>")
Choices supports the following:
show-tables - Displays tables in the database (default: mirtop.db)
show-schema - Displays the table schema (requires -t)
show-columns - Displays available columns in the table
describe-gff - Prints out the header information from the GFF file
isomirs-per-mirna - Displays the count of isomiRs for miRNA (requires -miR)
select - Allows specific query construction.
Example: mirtop sql --db tmp_mirtop/SRR333680_revised2.db -qe select -var iso_5p,iso_3p -miR hsa-let-7a-5p,hsa-let-7d-5p -l 30
The above expression evaluates to selecting miRNAs in -miR with variants in -var and prints out the first 30 rows in --limit.
```
## Creating Database
The `mirtop sql -c` takes `--gff` gff3 file and creates a database with name `--db`
### From GFF3 to SQLite database
```
git clone mirtop
cd mirtop/data
```
You can use the example data to create a database file from GFF3.
```
mirtop sql -c --gff examples/annotate/SQL_sample.gff -o examples/annotate/ --db SQL_sample.db
```
NOTE-1: If you are re-creating the database with the same name, make sure to delete the existing database in the working directory. As the database from the same set of samples will append the gff rows to the existing database and different set of samples throws an error as shown below.
`sqlite3.OperationalError: table data_sets has xy columns but yz values were supplied`
Where, xy is the number of columns present in database and yz are the number of column-values sent to append to the database.
## Querying a Database
Understanding the database structure helps to quickly query and fetch the results. The following content lists the useful commands to query based on the availabe options. To start with the available options type: `mirtop sql -h`.
NOTE-2: To query from a database, the argument `mirtop sql -q --db <db_name.db>` must always be specified with the correct name of the database along with absolute path (if required). The query will begin with an expression (-e) that is specified by the User. Passing a suitable query is mandatory such as: `mirtop sql -q --db <db_name.db> -e <expression>`. The following expressions allows users the ability to query from the database:
* show-tables - Displays tables in the database (default: mirtop.db)
* show-schema - Displays the table schema (requires -t)
* show-columns - Displays available columns in the table
* describe-gff - Prints out the header information from the GFF file
* isomirs-per-mirna - Displays the count of isomiRs for miRNA (requires -miR)
* select - Allows specific query construction
### show-tables:
Display the contents of the database. The data or information from a gff file is loaded as a table, and the collection of tables make it a database. To see the contents of the database, we should see the available tables in the database.
```
cd mirtop/data
```
You can use the example data (query\_sample.db) to query the contents of the database.
```
mirtop sql -q --db examples/annotate/query_sample.db -e show-tables
```
OUTPUT:
```
11/29/2019 01:03:49 INFO Run Convert GFF.
+------------------------- +
| Tables |
+------------------------- +
| data_sets |
| summary |
+------------------------- +
11/29/2019 01:03:49 INFO It took 0.000 minutes
```
### show-schema:
Display the schema of a table. The table schema represents the data type of each column and lists available columns such as samples names. Generally this information is essential for developers and can aid in debugging any errors during the query operation. show-schema essentially requires one to specify a table name for which the schema is intended to be displayed.
```
mirtop sql -q --db examples/annotate/query_sample.db -e show-schema -t summary
```
OUTPUT:
```
11/29/2019 01:13:55 INFO Run Convert GFF.
+---------------------------------------------------------+
| Sl | Field | Type | NULL | Key |
+---------------------------------------------------------+
| 0 | version | text | NO | |
| 1 | source | text | NO | |
| 2 | data_sets | text | NO | |
| 3 | tools | text | NO | |
| 4 | commands_exec | text | NO | |
| 5 | filter_tags | text | NO | |
| 6 | citation | text | NO | |
| 7 | records | real | NO | |
| 8 | date_stamp | text | NO | |
+---------------------------------------------------------+
11/29/2019 01:13:55 INFO It took 0.000 minutes
```
### show-columns: Query the columns of the table
This is similar to show-schema, however, only columns from the table are listed excluding the data type and other information. This is required for select query options, explained later.
NOTE-3: This parameter is only available for table data\_sets.
```
mirtop sql -q --db examples/annotate/query_sample.db -e show-columns
```
OUTPUT:
```
11/29/2019 01:18:55 INFO Run Convert GFF.
Serial Column names
1 seqID
2 source_file
3 type
4 start
5 end
6 score
7 strand
8 phase
9 UID
10 Read
11 Name
12 Parent
13 Variant
14 iso_5p
15 iso_3p
16 iso_add3p
17 iso_add5p
18 iso_snv
19 iso_snv_seed
20 iso_snv_central
21 iso_snv_central_offset
22 iso_snv_central_supp
23 source
24 cigar
25 hits
26 alias
27 genomic_pos
28 filter
29 seed_fam
30 SRR333680_1
11/29/2019 01:18:55 INFO It took 0.000 minutes
```
### describe-gff:
This option prints out the header information of the gff3 (table: summary)
```
mirtop sql -q --db examples/annotate/query_sample.db -e describe-gff
```
OUTPUT:
```
11/29/2019 01:21:18 INFO Run Convert GFF.
Serial Column names Description
1 version "--"
2 source "miRBase22"
3 data_sets "SRR333680_1"
4 tools "--"
5 commands_exec "--"
6 filter_tags "--"
7 citation "--"
8 records "11672.0"
9 date_stamp "November 22, 2019 16:41:50"
11/29/2019 01:21:18 INFO It took 0.000 minutes
```
### isomirs-per-mirna:
This expression provides a summary of the number of the isomiRs for the query miRNA (`-miR`)
Query miRNA (`-miR` or `--miRNA`) can be a particular miRNA of interest, or list of a few miRNAs (separated by comma) or a file of miRNAs (.txt file). The output can be redirected to a text document with `-txto <text_file.txt>` argument. The users can also chooses the prefix for the miRNAs with `-pm`. For example: A query `-pm hsa -miR let-7a-5p,let-7d-5p` will result into querying the database as `-miR hsa-let-7a-5p,hsa-let-7d-5p`.
```
mirtop sql -q --db examples/annotate/query_sample.db -e isomirs-per-mirna -miR hsa-let-7a-5p
(-- OR --)
mirtop sql -q --db examples/annotate/query_sample.db -e isomirs-per-mirna -miR hsa-let-7a-5p,hsa-let-7d-5p
(-- OR --)
mirtop sql -q --db examples/annotate/query_sample.db -e isomirs-per-mirna -miR let-7a-5p,let-7d-5p -pm hsa
(-- OR --)
mirtop sql -q --db examples/annotate/query_sample.db -e isomirs-per-mirna -miR examples/annotate/miRNA_sample_list.txt -txto examples/annotate/queryOutput_isomirs.txt
```
OUTPUT:
```
11/29/2019 02:26:44 INFO Run Convert GFF.
OUTPUT:
1. isomiRs for miRNA hsa-let-7a-5p: 397
2. isomiRs for miRNA hsa-let-7d-5p: 59
11/29/2019 02:26:44 INFO It took 0.000 minutes
```
### select:
This expression represents the SELECT statement used in MySQL database. It offers a lot of query options and can be combined with one or more optional arguments mentioned below.
* limit (`-l or --limit`): Specify the number of rows to output
The following command uses the conventional "SELECT * FROM data\_sets" option to display the contents of the table data\_sets from database query\_sample.db. However using `-l 2 or --limit 2` limits the output to display only the first two rows. If -l is not provided, it prints out all of the rows on the terminal (or) prints to a file if `-txto fileName.txt` is provided.
```
mirtop sql -q --db examples/annotate/query_sample.db -e select --limit 2
```
OUTPUT:
```
11/29/2019 03:04:28 INFO Run Convert GFF.
seqID source_file type start end score strand phase UID Read Name Parent Variant iso_5p iso_3p iso_add3p iso_add5p iso_snv iso_snv_seed iso_snv_central iso_snv_central_offset iso_snv_central_supp source cigar hits alias genomic_pos filter seed_fam SRR333680_1
hsa-miR-342-3p miRBase22 isomiR 61.0 85.0 . + . 0t@TeV#5v2 TCTCACAAAGAAATCGCACCCGTTC hsa-miR-342-3p hsa-mir-342 iso_snp,iso_add:+2 None None None None 1.0 0.0 0.0 0.0 0.0 miRBase22 7MA15MTC None None None Pass None 1
hsa-let-7i-5p miRBase22 isomiR 6.0 28.0 . + . 7AwwRIB71 TGAGGTAGTAGTTTGTGCTGTTG hsa-let-7i-5p hsa-let-7i iso_3p:+1 None 1.0 None None 0.0 0.0 0.0 0.0 0.0 miRBase22 23M None None None Pass None 1
11/29/2019 03:04:28 INFO It took 0.000 minutes
```
NOTE-4: In the above query option, we could limit the number of rows to be printed. What about columns? Can we limit them as well? and the answer is Yes.
* columns: Select specific columns from the table to display
The following command use the conventional "SELECT seqID,UID,Read,iso\_5p,iso\_3p,start,end FROM data\_sets LIMIT 2" option to display the contents of the table data\_sets from database query\_sample.db for specific columns. It prints out all the rows on the terminal (or) prints to a file if `-txto fileName.txt` is provided.
```
mirtop sql -q --db examples/annotate/query_sample.db -e select -l 2 -col seqID,UID,Read,iso_5p,iso_3p,start,end
```
OUTPUT:
```
11/29/2019 03:28:40 INFO Run Convert GFF.
seqID UID Read iso_5p iso_3p start end
hsa-miR-342-3p 0t@TeV#5v2 TCTCACAAAGAAATCGCACCCGTTC None None 61.0 85.0
hsa-let-7i-5p 7AwwRIB71 TGAGGTAGTAGTTTGTGCTGTTG None 1.0 6.0 28.0
11/29/2019 03:28:40 INFO It took 0.000 minutes
```
* miRNA: Specify one or more miRNA to query.
The user can specify miRNAs to query from the database. Use comma (miRNA-1,NO-SPACES,miRNA-n) to separate miRNAs while passing as an argument. For large set of query miRNAs use a text-file as input, separated by new line character. If short names are preffered over including the species name every time, then please refer to argument `-pm` or `--miRNA_prefix` to prefix the sepcies name along with the names of miRNAs.
```
mirtop sql -q --db examples/annotate/query_sample.db -e select -l 4 -col seqID,UID,Read,iso_5p,iso_3p,start,end -miR hsa-let-7i-5p
```
OUTPUT:
```
seqID UID Read iso_5p iso_3p start end
hsa-let-7i-5p 7AwwRIB71 TGAGGTAGTAGTTTGTGCTGTTG None 1.0 6.0 28.0
hsa-let-7i-5p 7AwwRIBL1 TGAGGTAGTAGTTTGTGCTGTTA None None 6.0 28.0
hsa-let-7i-5p 7AwwRIBU1 TGAGGTAGTAGTTTGTGCTGTTC None None 6.0 28.0
hsa-let-7i-5p 7AwwRIBQ1 TGAGGTAGTAGTTTGTGCTGTTT None None 6.0 28.0
11/29/2019 03:43:21 INFO It took 0.000 minutes
```
* variant: Specify the query with one or more variant types. The following variant types can be queried using `-var` argument.
* iso_5p - indicates the shift at the reference 5' miRNA
* iso_3p - indicates the shift at the reference 3' miRNA
* iso_add3p - number of non-template nucleotides added at 3p
* iso_add5p - number of non-template nucleotides added at 5p
* iso_snv_seed - when affected nucleotides are between [2-7]
* iso_snv_central_offset - when affected nucleotide is at position [8]
* iso_snv_central - when affected nucleotides are between [9-12]
* iso_snv_central_supp - when affected nucleotides are between [13-17]
* iso_snv - anything else
The conventional query for selecting rows with TRUE values of iso_5p, iso_3p and iso_snv_central_offset would be as "SELECT * FROM data_sets WHERE iso_5p!="None" AND iso_3p!="None" AND iso_snv_central_offset!=0". In `mirtop sql` we can specifiy the same as shown in the example.
```
mirtop sql -q --db examples/annotate/query_sample.db -e select -var iso_5p,iso_3p,iso_snv_central_offset -l 5
```
OUTPUT:
```
12/02/2019 11:52:39 INFO Run Convert GFF.
seqID source_file type start end score strand phase UID Read Name Parent Variant iso_5p iso_3p iso_add3p iso_add5p iso_snv iso_snv_seed iso_snv_central iso_snv_central_offset iso_snv_central_supp source cigar hits alias genomic_pos filter seed_fam SRR333680_1
hsa-miR-6727-5p miRBase22 isomiR 8.0 26.0 . + . uMcGq6v2 TGGGGCAAGCGGCTGGCTC hsa-miR-6727-5p hsa-mir-6727 iso_snv_central_offset,iso_5p:-2,iso_3p:-2 -2.0 -2.0 None None 0.0 0.0 0.0 1.0 0.0 miRBase22 T6MA8MCTC None None None Pass None 1
hsa-miR-6809-5p miRBase22 isomiR 8.0 25.0 . + . xh@L$4 CCAAGGAAATAAGGGGAG hsa-miR-6809-5p hsa-mir-6809 iso_snv_central_offset,iso_5p:-2,iso_3p:-2 -2.0 -2.0 None None 0.0 0.0 0.0 1.0 0.0 miRBase22 C8MT3MG3MG None None None Pass None 1
hsa-miR-6727-5p miRBase22 isomiR 8.0 24.0 . + . hMGGDx1 AGGGGCCGGCGGCAGCC hsa-miR-6727-5p hsa-mir-6727 iso_snv_central_offset,iso_5p:-2,iso_3p:-4 -2.0 -4.0 None None 0.0 0.0 0.0 1.0 0.0 miRBase22 A5MC6MAMCC None None None Pass None 1
hsa-let-7f-5p miRBase22 isomiR 8.0 27.0 . + . . NAGGTAGTAGATTGTATAGT hsa-let-7f-5p hsa-let-7f-1 iso_snv_central_offset,iso_5p:-1,iso_3p:-1 -1.0 -1.0 None None 0.0 0.0 0.0 1.0 0.0 miRBase22 N19M None None None Pass None 1
12/02/2019 11:52:39 INFO It took 0.001 minutes
```
* filter: Filter attribute lets a user choose data query such that the attribute is 'Pass' for the reads from the miRNA sequencing is OK; 'Reject' if the reads are false positive; 'Reject lowcount'where the miRNA is rejected due to a low count in data. This filter decision is made by the aligner tools and is supplied to the GFF3.
```
mirtop sql -q --db examples/annotate/query_sample.db -e select -var iso_5p,iso_3p,iso_snv_central_offset -l 5 -f Pass
```
OUTPUT:
```
seqID source_file type start end score strand phase UID Read Name Parent Variant iso_5p iso_3p iso_add3p iso_add5p iso_snv iso_snv_seed iso_snv_central iso_snv_central_offset iso_snv_central_supp source cigar hits alias genomic_pos filter seed_fam SRR333680_1
hsa-miR-6727-5p miRBase22 isomiR 8.0 26.0 . + . uMcGq6v2 TGGGGCAAGCGGCTGGCTC hsa-miR-6727-5p hsa-mir-6727 iso_snv_central_offset,iso_5p:-2,iso_3p:-2 -2.0 -2.0 None None 0.0 0.0 0.0 1.0 0.0 miRBase22 T6MA8MCTC None None None Pass None 1
hsa-miR-6809-5p miRBase22 isomiR 8.0 25.0 . + . xh@L$4 CCAAGGAAATAAGGGGAG hsa-miR-6809-5p hsa-mir-6809 iso_snv_central_offset,iso_5p:-2,iso_3p:-2 -2.0 -2.0 None None 0.0 0.0 0.0 1.0 0.0 miRBase22 C8MT3MG3MG None None None Pass None 1
hsa-miR-6727-5p miRBase22 isomiR 8.0 24.0 . + . hMGGDx1 AGGGGCCGGCGGCAGCC hsa-miR-6727-5p hsa-mir-6727 iso_snv_central_offset,iso_5p:-2,iso_3p:-4 -2.0 -4.0 None None 0.0 0.0 0.0 1.0 0.0 miRBase22 A5MC6MAMCC None None None Pass None 1
hsa-let-7f-5p miRBase22 isomiR 8.0 27.0 . + . . NAGGTAGTAGATTGTATAGT hsa-let-7f-5p hsa-let-7f-1 iso_snv_central_offset,iso_5p:-1,iso_3p:-1 -1.0 -1.0 None None 0.0 0.0 0.0 1.0 0.0 miRBase22 N19M None None None Pass None 1
12/02/2019 12:33:28 INFO It took 0.001 minutes
```
* count: Count is used to retrieve a summary for a custom query. Generally, `select * from data_sets` or `select columns from data_sets` is used to retrieve the information and a WHERE clause is optionally supplied such as `--variants \| --miRNA` etc. This can be leveraged to get the count for a specific query, such that the query `select count(*) from data_sets` or `select count(columns) from data_sets` will be executed along with any optional WHERE clause. Argument `-n T` where T is True else False (Default False).
For example:
1) How many miRNA isoforms exists for a variant type iso_snv_central_offset and iso_5p?
2) How many miRNA isoforms exists for a variant type iso_5p and iso_3p?
3) How many miRNA isoforms exists for a variant type iso_5p and iso_3p for miRNA hsa-miR-142-5p and hsa-miR-372-3p?
Query in that order of example is below:
```
mirtop sql -q --db examples/annotate/query_sample.db -e select -var iso_5p,iso_snv_central_offset -f Pass -n T
mirtop sql -q --db examples/annotate/query_sample.db -e select -var iso_5p,iso_3p -f Pass -n T
mirtop sql -q --db examples/annotate/query_sample.db -e select -var iso_5p,iso_3p -f Pass -l 30 -miR hsa-miR-142-5p,hsa-miR-372-3p -n T
```
OUTPUT:
Example 1:
```
12/02/2019 01:00:03 INFO Run Convert GFF.
COUNT(*)
Unique counts for all rows is: 10
12/02/2019 01:00:03 INFO It took 0.000 minutes
```
Example 2:
```
12/02/2019 01:01:59 INFO Run Convert GFF.
COUNT(*)
Unique counts for all rows is: 751
12/02/2019 01:01:59 INFO It took 0.000 minutes
```
Example 3:
```
12/02/2019 01:02:40 INFO Run Convert GFF.
COUNT(*)
1. hsa-miR-142-5p: 28
2. hsa-miR-372-3p: 46
12/02/2019 01:02:40 INFO It took 0.000 minutes
```
* txtout: Specify the query to redirect the output to a file instead of printing it on the screen. The name of the file must have an extension of (.txt).
Extending from our previous example (3): How many miRNA isoforms exists for a variant type iso_5p and iso_3p for miRNA hsa-miR-142-5p and hsa-miR-372-3p and redirect the output to sample_count.txt
```
mirtop sql -q --db examples/annotate/query_sample.db -e select -var iso_5p,iso_3p -f Pass -l 30 -miR hsa-miR-142-5p,hsa-miR-372-3p -n T -txto sample_count.txt
```
OUTPUT:
```
12/02/2019 01:10:06 INFO Run Convert GFF.
Writing data to file: sample_count.txt
12/02/2019 01:10:06 INFO It took 0.000 minutes
```
|