Sir,
Thanks for your reply. But when I am trying to go into the site it
shows that "hashMustFindVal: 'c' not found " in that page.
Pleaes reply at your earliest convenience.
Thanking you,
Tapas Bhadra,
Senior Research Fellow,
Indian Statistical Institute,
Kolkata,
India
> Hi Tapas,
>
> Whether you obtain the DNA sequence through our downloads page or the
> "DNA" button in the blue bar when you are viewing an assembly, it always
> defaults to the positive strand. The easiest way to get DNA for a short
> sequence, such as the one you mentioned in your email, is to use the
> "get DNA" feature (http://genome.ucsc.edu/cgi-bin/hgc?g=getDna). Simply
> type in the coordinates and click the "get DNA" button. Note that you
> can also get DNA from the negative strand by clicking the "reverse
> complement" check box.
>
> I hope this answers this question and both of your questions that were
> emailed to our team yesterday. Please feel free to contact the mail list
> again if you require further assistance.
>
> Best,
> Mary
> ------------------
> Mary Goldman
> UCSC Bioinformatics Group
>
> On 6/24/10 4:33 AM, Tapas Bhadra wrote:
>> Dear Sir,
>> I am a research fellow at the Indian Statistical Institute, Kolkata,
>> India.
>>
>> I have downloaded the sequences of all the chromosomes. Can you please
>> inform me that if I need sequences from 1000bp to 1500bp of chr 6 from
>> +ve
>> strand and also from 1000bp to 1500bp of chr 6 from -ve strand, then how
>> will I obtain those information. Will they be same?
>>
>> Is your database strand specific? If yes then which strand it annotates
>> for the sequence and for this strand specific database how will we
>> obtain
>> sequential information from the reverse strand?
>>
>> Pleaes reply at your earliest convenience.
>>
>> Thanking you,
>> Tapas Bhadra,
>> Senior Research Fellow,
>> Indian Statistical Institute,
>> Kolkata,
>> India
>> This mail is scanned by Ironport
>>
>>
>> _______________________________________________
>> Genome maillist - [email protected]
>> https://lists.soe.ucsc.edu/mailman/listinfo/genome
>>
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>
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