You will be presented with the full text of a biomedical research paper. Please write an abstract for this paper. Your response should include the abstract and no additional text.

Paper text:
through our service we have witnessed dramatic advancements in biology and the related areas in the past 20 or more years .
for example , using genome sequence data for eubacteria , archaebacteria and eukaryotes , some authors constructed a tree of life , which is the phylogenetic tree of the three super - kingdoms ( 1,2 ) .
others reported a way to predict the number of genes at least in the bacterial world ( 3 ) .
the dramatic advancements prove our simple idea that the more data we collect and serve the more people make use of it for various purposes . on the other hand , the recent development of sequencing machines such as 454 ( by 454 life sciences ) , solexa ( by illumina , inc . ) and solid ( by applied biosystems ) makes us worrisome as well . according to some estimate ,
510 tera bases will be sequenced by solexa at one sequencing facility in a month in the near future . with the further development of the sequencing technology the whole genome of a person
may repeatedly be submitted in the near future , as few examples warn ( 4 ) . to cope with the expected situation of sequencing genes and genomes ,
we think that the new computer and tool serve our data submitters and users better and make our job more effective and efficient . in this article
we will report on the data submissions to ddbj in the past year , replacement of our computer system with an upgraded one , a new data retrieval tool and a new home page .
in the period from july 2006 to june 2007 , ddbj collected and released the original data of 1 880 115 entries or 1 134 086 245 bases that were classified into the 19 international nucleotide sequence database collaboration ( insdc ) divisions ( 5 ) .
more than 90% of the submissions came from japanese researchers , and the rest were mainly from chinese and korean researchers .
the released data includes the high - throughput cdnas ( htc ) of cricket , gryllus bimaculatus submitted from tokushima university ( 6 ) . the data amount is 32 010 entries that can be obtained through anonymous ftp with the file name , gryllus_bimaculatus_htc_070726_1.seq.gz
. also included is 700 mb of the high - quality draft genome data of medaka , oryzias latipes , which was submitted from university of tokyo and national institute of genetics ( 7 ) .
the data was carefully assembled and upgraded from the wgs data that was reported in our previous paper ( 8) . the given accession numbers are baaf03000000 ( hd - rr , version 0.9 ) , baaf04000000 ( hd - rr , version 1.0 ) baae01000000 ( hni ) and acaaa0000001-acaaa0356693 ( 5 sage tags ) .
although draft genome sequences of two fugu ( blowfish ) species are available , the high - quality draft genome of medaka will be quite useful particularly for the study of vertebrate evolution .
the submitters of the genome data discussed , for example , that the medaka genome preserved its ancestral karyotype for more than 300 million years ( 7 ) .
it is also noted that the current number of bacterial species / strains in the complete bacteria genome data repository , the genome information broker , ( gib , http://gib.genes.nig.ac.jp/ ) ( 9 ) , at ddbj is 569 and keeps on growing rapidly .
the species added in the past year include methanococcus maripaludis ( by joint genome institute ) , saccharopolyspora erythraea ( by university of cambridge ) , francisella tularensis subsp .
tularensis ( by ut southwestern medical center ) , desulfotomaculum reducens ( by joint genome institute ) , burkholderia vietnamiensis ( by joint genome institute ) , herminiimonas arsenicoxydans ( by genoscope ) , geobacillus thermodenitrificans ( by nankai university ) , corynebacterium glutamicum ( by rite ) and many others .
we also serve a complete virus genome data repository , gib for viruses ( gib - v , http://gib-v.genes.nig.ac.jp/ ) that now contains 31 486 virus genomes and genomic segments .
in july 2007 , we celebrated the 20th anniversary of the public release of the dna data .
our first release in july 1987 contained only 66 entries or 108 970 bases that were typed in from published papers .
these numbers may be impressive in the comparison with the corresponding ones as of june 2007 , 13 371 690 entries or 8 988 178 758 bases .
this tremendous increase in the numbers perhaps reflects the remarkable advancement of research in biology and the related areas in japan in the past 20 years .
the ever - increasing amount of the data also makes us worry about our hardware and software facilities . in march 2007 , we completely replaced our computer system with an upgraded one .
( i ) the increase in the number of entries in making the flat files from 300 000 to 1 000 000 entries / day , ( ii ) the decrease in processing time in making a huge flat file ; in case of four rice chromosomes , from 110 to 13 min , ( iii ) the decrease in processing time from 120 to 13 min for updating the live - list that lists the accession numbers and dates of the public release of the released entries ; it is weekly updated to exchange the information about the currently released data with the embl bank and genbank , ( iv ) the increase in the number of ests in data processing from 40 000 to 800 000 entries / h and ( v ) the increase in the number of queries accepted at once by 1.5 times .
therefore , we will be able to cope with the increase in the number of data submissions for the next several years .
recently , we have installed a high - speed keyword search tool , all - round retrieval for sequence and annotation ( arsa , http://arsa.ddbj.nig.ac.jp/top-e.html ) . the search logic behind arsa is called sigma , which was invented by arikawa and his colleagues ( 10,11 ) . for a given query sigma
makes it possible to retrieves all the right entries by checking the contents of a database just once , no matter how the query is complicated .
sigma does not need an index file , which means that search can be made against the currently available data .
the search engine operates in parallel for divided data , which makes the search even faster .
arsa also has a large scalability with an increasing amount of data . in theory ,
one search can be completed within 10 s irrespective of the data size and the query formula .
if the data increases more than 10 times larger than the current amount , however , we may have to increase the number units in the shunsaku accordingly to keep the present search speed .
a special feature of arsa is that it can also incorporate the terms defined by the feature / qualifier of insdc .
while this feature is very helpful for us to annotate the submitted data , it enables our user to perform data retrieval by using terms in the feature / qualifier .
for example , you can search for cdss ( protein coding sequences ) located on human y chromosome , as shown in figure 1 . in the figure ,
the query formula is given on the top , and a part of the hit entries is given below with the accession numbers . by clicking one of the numbers you can see its contents .
you can download the search result in flat file , fasta or xml , and also choose the items in the search results to be displayed on the computer screen and directly download them in tab - limited format .
we also provide you with webapi ( http://xml.nig.ac.jp/>http://xml.nig.ac.jp/ ) ( 12 ) so that you can customize arsa by writing a program in perl or java .
we will soon include kegg ( http://www.genome.ad.jp/kegg/ ) in arsa and make the 24 databases simultaneously retrievable for common keywords . 

since the present hp holds many contents that have been added in an irregular sequence without much consideration for consistency , it is not really convenient now for our data submitters and users .
the main point of the updating thus is to reach the almost every content with three clicks or less , which is now a common practice in making use of a hp . in the new hp when you click one of our main services , data submission , data retrieval , ftp / soap , statistics and inquiry
, you can get the whole view of all contents for each service at once , and easily go to the one of them that you wish .
we hope the new hp on the new computer system and tool will be more attractive to our data submitters and users worldwide .
ddbj ( http://www.ddbj.nig.ac.jp ) collected and released 1 880 115 entries or 1 134 086 245 bases in the period from july 2006 to june 2007 . 
 the released data contains the high - throughput cdnas of cricket and high - quality draft genome of medaka among others . 
 our computer system has been upgraded since march 2007 . 
 another new aspect is an efficient data retrieval tool that has recently been equipped and served at ddbj . 
 it is called all - round retrieval for sequence and annotation , which enables the user to search for keywords also in the feature / qualifier of the international nucleotide sequence database collaboration ( http://www.insdc.org/ ) . 
 we will also replace our home page with a more efficient one by the end of 2007 .