Entering edit mode
8.3 years ago
felix.kuo.1211
▴
10
I have learn something, so I change my question
I have know that NCBI has stopped supporting gi numbers. It change to use Accessions.
So I have to find a gi fromat nt for use.
Is there any way to download?
See my answer in the following post:
where can I get environmental bacteria genome in fasta format (as many as possible)?
It will help you to find a previous NCBI bacterial-version as well as a current one.
I've looked into some random bacterial genome from old NCBI-verion, there are gi-numbers here.
See the link below:
ftp://ftp.ncbi.nlm.nih.gov/genomes/archive/old_refseq/Bacteria/Acholeplasma_palmae_J233_uid222824/NC_022538.faa
I see, thanks. But it is not non-redundant, right?
It's simply some old version of a previous version of NCBI database.
It's a good idea to ask NCBI-people about redundancy.
Or read README-files carefully, they created a lot of such files to explain all the details of this transition to a new version.
The directory linked by @Natasha is just an old version (appears to be from 2013) of the RefSeq bacterial genomes (the direct link is only for one bacterium Acholaeplasma oalmae). There also you would need to download the .faa files from each of the directories listed to make up your starting "bacterial genomes" file.
If you have accession numbers you can use this technique: A: NCBI Blast locally: filter by accession number and NOT by GI number
Blast db indexes being large you are going to be hard-pressed to find an older version. Can I ask what exactly you are trying to do that you must have a subset of bacteria? Can you not filter the results afterwards?
I try to download accesion list from NCBI but it's to slow...12Hr 60MB. idon't know why? I want to make a bacteria NT subset, or download a whole non-redundant bacteria genome forgi formate.
I want to use mapping some file. And find all the bacteria(not only 16s).
Can you give me some tips?
You are still not describing what it is you want to do after you extract those bacterial genomes. Perhaps we can devise an alternate solution.
Oh I see
Simple=bowtie2(whole bactireia)=filter=>bactireial Simple
bactireial Simple =bowtie2(Silva rRNA DB) =>rRNA Reads=>Taxonomy Assignment
bactireial Simple =bowtie2(Silva rRNA DB) =>Putative mRNA Reads=>Functional Annotation
Putative mRNA Reads=RSEM=>Gene Expression Analysis=KEGG=>Metabolic
Putative mRNA Reads=BLASTx(COG)=>Functional Categories Analysis
It would be much simpler to use MEGAN6.