This script will read the output files from the de novo transcriptome assembler, Oases, and generate a csv file that can be used to create a database of your transcriptome data or simply to be able to centralize and easily parse the data.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.020118s ]
SELECT `a`.`aid`,`a`.`title`,`a`.`create_time`,`m`.`username` FROM `jrk_downrecords` `a` INNER JOIN `jrk_member` `m` ON `a`.`uid`=`m`.`id` WHERE `a`.`status` = 1 GROUP BY `a`.`aid` ORDER BY `a`.`create_time` DESC LIMIT 10 [ RunTime:0.096788s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.018706s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.001336s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.016929s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.012877s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.017619s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.012956s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.035098s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001401s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 263072 [ RunTime:0.022383s ]
