{"id":433,"date":"2016-09-30T14:36:13","date_gmt":"2016-09-30T21:36:13","guid":{"rendered":"https:\/\/bionmr.mbi.ucla.edu\/?page_id=433"},"modified":"2016-10-06T15:22:15","modified_gmt":"2016-10-06T22:22:15","slug":"processing-with-topspin-3-native","status":"publish","type":"page","link":"https:\/\/bionmr.mbi.ucla.edu\/?page_id=433","title":{"rendered":"Processing with TopSpin 3 (native)"},"content":{"rendered":"

If the data was acquired with TS3 (native)<\/span><\/strong><\/span><\/p>\n

Just process as you would any TopSpin dataset: \u00a0 \u00a0\u00a0xfb<\/span> \u00a0 \u00a0\u00a0ftnd 0<\/span> \u00a0 \u00a0\u00a0ftnd 0 dlp<\/span><\/p>\n

If the data was acquired with hmsIST\/TS3<\/span><\/strong><\/p>\n

As above. Just process as you would any TopSpin dataset.<\/p>\n

If the data was acquired with TS2 (or TS1 or xwinnmr)<\/span><\/strong><\/p>\n

This type of data can also be processed in TS3, but you have to change some parameters.<\/p>\n

As an example, consider an hncacb<\/span> which is Echo-Antiecho in F2 (15N)<\/span> and States-TPPI in F1 (13C)<\/span>,<\/p>\n

run with 64 <\/span>nominal (complex) points in F1 and 55 <\/span>nominal (complex) points in F2.<\/p>\n

With ~30% sampling<\/span>, there are 1058 points<\/span> in the sampling schedule (file: sched).<\/p>\n

When the experiment was run, the TD values were: \u00a0F3:2048 \u00a0 F2:4 \u00a0 F1:1058<\/span><\/p>\n

To process this dataset in TS3, first open the dataset in TS3.<\/p>\n

Set “s td”<\/span> to: \u00a0 F3:2048 \u00a0 F2:4232 \u00a0 F1:1<\/span> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 (4232 = 1058*4)<\/p>\n

Set “NUSTD”<\/span> and “s NUSTD”<\/span> to: \u00a0 \u00a0F3:2048 \u00a0 F2:110 \u00a0 F1:128<\/span> \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 (110=2*55, 128=2*64)<\/p>\n

Check “s FNmode”<\/span>, and make sure that the values are: F2:Echo-Antiecho \u00a0 F1:States-TPPI<\/span><\/p>\n

In a linux shell, go into the dataset directory. Copy the file “sched” to the file “nuslist” \u00a0(ie: >cp sched nuslist<\/span>)<\/p>\n

Then process normally \u00a0(eg\u00a0ftnd 0<\/span>)<\/span><\/p>\n

 <\/p>\n

back to Non-Uniform Sampling Experiments<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

If the data was acquired with TS3 (native) Just process as you would any TopSpin dataset: \u00a0 \u00a0\u00a0xfb \u00a0 \u00a0\u00a0ftnd 0 \u00a0 \u00a0\u00a0ftnd 0 dlp If the data was acquired with hmsIST\/TS3 As above. Just process as you would any TopSpin dataset. If the data was acquired with TS2 (or TS1 or xwinnmr) This type […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-433","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bionmr.mbi.ucla.edu\/index.php?rest_route=\/wp\/v2\/pages\/433","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bionmr.mbi.ucla.edu\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bionmr.mbi.ucla.edu\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bionmr.mbi.ucla.edu\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bionmr.mbi.ucla.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=433"}],"version-history":[{"count":7,"href":"https:\/\/bionmr.mbi.ucla.edu\/index.php?rest_route=\/wp\/v2\/pages\/433\/revisions"}],"predecessor-version":[{"id":456,"href":"https:\/\/bionmr.mbi.ucla.edu\/index.php?rest_route=\/wp\/v2\/pages\/433\/revisions\/456"}],"wp:attachment":[{"href":"https:\/\/bionmr.mbi.ucla.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=433"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}