Visit that page if you want to learn how to apply different customizations to same input files and how to compare GFF sources obtained from the same sequence. You can download from there although running gff2ps is not the basic goal now. We are using the same files from the " Comparing GFF Sources Howto" examples.
#PS TO PDF LETTERSIZE FULL#
"The PostScript Language Reference" (the Red Book, 3rd edition PDF version, 912 pages and about 2.3 Megs) contains the full description of PostScript if you are really interested in learning it."A first guide to PostScript" gives you an overview of the language and its commands.The PostScript Language home page from Adobe.If you want to learn more about PostScript, there are some web resources you can access from here (we apologize not trying to be so much exhaustive, but we think the following links are a good starting point): Send me an e-mail, your suggestions and/or tricks are warmly welcome. This howto is addressed not only to those who have to deal with gff2ps/ gff2aplot PostScript output for the first time, if they do not have worked with tools to view PostScript files yet, but also for those gff2ps/ gff2aplot users that already has such skills and need some tips. Examples were written on gff2ps output, although this howto provides ideas that can be applied to gff2aplot ouput too. to portable document format, referred as PDF from now on). We will give some hints on using ghostview and how to convert to other formats too (i.e. Then we will see different tools that are available to display PostScript files at different platforms. The first section provides a set of files with which we have made all the PostScript examples included in this page. Gff2ps and gff2aplot programs produce PostScript plots, in this howto we will try to provide some help on handling that PostScript output. Visualizing PostScript output from gfftools Resources & Datasets | Gene Predictions | Seminars & Courses
Help | News | People | Research Software Publications | Links GFF2PS: Visualizing PostScript Output HowTo Genome BioInformatics Research Lab
0 kommentar(er)
