Hi Thanks For the reply. I have some questions but would need to know the answer for the one i am asking CAN WE CONVERT A WIGGLE FILE FORMAT TO A BED FORMAT. if yes then how
Regards Varun On Wed, Jan 4, 2012 at 12:33 PM, Hiram Clawson <[email protected]> wrote: > Good Morning Varun: > > The "variableStep" data format is explained on the page you reference: > > http://genome.ucsc.edu/**goldenPath/help/wiggle.html<http://genome.ucsc.edu/goldenPath/help/wiggle.html> > > Please note the description of what wiggle data is for on this description > page. It is for graphing data. It is not bed format and does not have > that meaning. If you have data you need to graph, use one of these > wiggle formats, or the more efficient bigWig format as explained on this > page. If you have annotations you want to display on the genome, you can > use bed format files. > > --Hiram > > varun gupta wrote: > >> Hi everyone >> Thanks for your support and help >> I have a question. I am interested in understanding the wiggle format. I >> was going through this : >> http://genome.ucsc.edu/**goldenPath/help/wiggle.html<http://genome.ucsc.edu/goldenPath/help/wiggle.html> >> >> Can you explain me what does the last paragraph means >> >> *Caution for sparse variableStep data* >> *The wiggle format was designed for quickly displaying data that is quite >> >> dense. The variableStep format, in particular, becomes very inefficient >> when there are only a few data points per 1,024 bases. If variableStep >> data >> points (i.e., chromStarts) are greater than about 100 bases apart, it is >> advisable to use BedGraph<http://genome.ucsc.** >> edu/goldenPath/help/bedgraph.**html<http://genome.ucsc.edu/goldenPath/help/bedgraph.html> >> > >> format.* >> * >> * >> What do we mean by *variablestep data points* referred above. It would be >> >> nice if you can explain this >> >> Moreover can you suggest me how can we convert wiggle file into a bed file >> >> Thanks in advance >> >> Regards >> VARUN >> > _______________________________________________ Genome maillist - [email protected] https://lists.soe.ucsc.edu/mailman/listinfo/genome
