[BiO BB] How can I retrieve the biggest transposable element fromNCBI?

Mike Marchywka mmarchywka at eyewonder.com
Tue May 2 12:54:24 EDT 2006


I wouldn't dismiss that approach more generally.
Their support for eutils is amazaing- for abstracts and blast
results, downloading coarsely defined searches and then doing
ad hoc sorting/browsing can be pretty powerful. 8000 is no big
deal and, again, their support for automated interaction is wonderful.

This is the first link that came up on google
and I think I've posted others in the past:
http://www.ncbi.nlm.nih.gov/Class/PowerTools/QuickScripts/course.html

For abstracts, I can download 1000's and data mine with little effort.
Blast for peptides has been similarly useful. 

If you anticipate implementing a lot of ad hoc search/sort criteria
you should probably get some kind of scripting capability.



*************************************************************************
Mike Marchywka
EyeWonder
Instant Streaming, Infinite Results

1447 Peachtree Street
9th Floor
Atlanta, GA 30309

w.678-891-2033
c. 
h.770-565-8101
mmarchywka at eyewonder.com
alt: marchywka at hotmail.com
Instant Streaming, Intelligent results.
*************************************************************************




-----Original Message-----
From: bio_bulletin_board-bounces+mmarchywka=eyewonder.com at bioinformatics.org [mailto:bio_bulletin_board-bounces+mmarchywka=eyewonder.com at bioinformatics.org]On Behalf Of hzheng_hotml at hotmail.com
Sent: TuesdayMay-02-2006 11:41 AM
To: bio_bulletin_board at bioinformatics.org
Subject: [BiO BB] How can I retrieve the biggest transposable element fromNCBI?


    I want to retrieve the sequence of the biggest transposable element 
from NCBI.  Can anybody tell me what's the proper steps?  
    I've try to do it by searched nucleotide databases in NCBI with keyword 
"transposable element", but most records of what I retrieved was 
irrespective.  Another problem is how can I distinguish the biggest 
transposon from others before I download all the sequences.  After all, 
nearly 8000 records is rather large. 
   I'll be so glad if anyone tell me better ways to achieve the aim. Thanks.

_________________________________________________________________
与联机的朋友进行交流,请使用 MSN Messenger:  http://messenger.msn.com/cn  

_______________________________________________
Bioinformatics.Org general forum  -  BiO_Bulletin_Board at bioinformatics.org
https://bioinformatics.org/mailman/listinfo/bio_bulletin_board




More information about the BBB mailing list