1 00:00:08,870 --> 00:00:06,230 and chances are most folks would love to 2 00:00:10,310 --> 00:00:08,880 have an all-access pass to a concert or 3 00:00:11,190 --> 00:00:10,320 some other event that you're excited 4 00:00:12,950 --> 00:00:11,200 about 5 00:00:14,709 --> 00:00:12,960 well scientists who are looking for data 6 00:00:17,029 --> 00:00:14,719 from experiments that happen in space 7 00:00:17,990 --> 00:00:17,039 are no different and nasa has just a 8 00:00:20,630 --> 00:00:18,000 thing 9 00:00:23,029 --> 00:00:20,640 gene lab is giving scientists that kind 10 00:00:25,589 --> 00:00:23,039 of access and the ability to share data 11 00:00:27,269 --> 00:00:25,599 on molecular biology experiments 12 00:00:29,509 --> 00:00:27,279 my colleague lori meggs at the marshall 13 00:00:32,389 --> 00:00:29,519 space flight center recently got an 14 00:00:34,069 --> 00:00:32,399 all-access pass to a nasa supercomputer 15 00:00:36,549 --> 00:00:34,079 at the ames research center in 16 00:00:38,470 --> 00:00:36,559 california where this important research 17 00:00:41,270 --> 00:00:38,480 information is stored 18 00:00:45,350 --> 00:00:41,280 what is gene lab what is gene lab 19 00:00:47,590 --> 00:00:45,360 gene lab is a platform for nasa to 20 00:00:49,750 --> 00:00:47,600 collect and distribute the valuable 21 00:00:51,270 --> 00:00:49,760 space station research data to the 22 00:00:52,790 --> 00:00:51,280 broader public 23 00:00:54,389 --> 00:00:52,800 why do we need something like that i 24 00:00:55,990 --> 00:00:54,399 mean i guess once you have the 25 00:00:57,990 --> 00:00:56,000 information that the scientists have 26 00:00:59,830 --> 00:00:58,000 garnered in space other people want to 27 00:01:02,150 --> 00:00:59,840 use it too right oh they do of course 28 00:01:05,429 --> 00:01:02,160 they do and they want to understand it 29 00:01:07,030 --> 00:01:05,439 beyond just the complicated uh 30 00:01:08,630 --> 00:01:07,040 ways that the data is described for the 31 00:01:10,870 --> 00:01:08,640 international space station science 32 00:01:13,350 --> 00:01:10,880 community so there's a broader community 33 00:01:14,710 --> 00:01:13,360 a community of biomedical researchers 34 00:01:16,950 --> 00:01:14,720 that really don't understand space 35 00:01:18,870 --> 00:01:16,960 station and the space station related 36 00:01:20,789 --> 00:01:18,880 experimental data we would like to 37 00:01:22,870 --> 00:01:20,799 format that data and make it available 38 00:01:25,350 --> 00:01:22,880 to the broader public in a way that they 39 00:01:27,109 --> 00:01:25,360 would understand it and also define what 40 00:01:29,190 --> 00:01:27,119 the unique space 41 00:01:30,390 --> 00:01:29,200 conditions are so that data can be made 42 00:01:33,109 --> 00:01:30,400 useful 43 00:01:34,469 --> 00:01:33,119 we're standing inside the 11th fastest 44 00:01:36,310 --> 00:01:34,479 computer in the world it's a 45 00:01:38,230 --> 00:01:36,320 supercomputer what happens here well 46 00:01:41,109 --> 00:01:38,240 this is nasa's supercomputer so we do 47 00:01:43,510 --> 00:01:41,119 nasa work here we do aerospace earth 48 00:01:45,510 --> 00:01:43,520 science space science and life science 49 00:01:47,270 --> 00:01:45,520 research on these computers around us 50 00:01:49,270 --> 00:01:47,280 that's a lot of data a lot of super 51 00:01:50,870 --> 00:01:49,280 computing that's right you can hear and 52 00:01:53,270 --> 00:01:50,880 feel it with the air blowing around all 53 00:01:55,350 --> 00:01:53,280 the data on the systems so what do we 54 00:01:58,230 --> 00:01:55,360 use this for well we use it for our 55 00:02:00,389 --> 00:01:58,240 science scientists log in from all over 56 00:02:02,310 --> 00:02:00,399 the united states accessing these 57 00:02:05,350 --> 00:02:02,320 systems to do their science that 58 00:02:07,109 --> 00:02:05,360 requires large-scale computing resources 59 00:02:09,029 --> 00:02:07,119 so here's where the data is stored in 60 00:02:10,790 --> 00:02:09,039 the supercomputer but how does that fit 61 00:02:11,910 --> 00:02:10,800 into genelab i'm glad you asked that 62 00:02:14,550 --> 00:02:11,920 lori 63 00:02:17,589 --> 00:02:14,560 one of our i.t folks in genelab 64 00:02:18,949 --> 00:02:17,599 takes the proteomic and the 65 00:02:21,350 --> 00:02:18,959 genomic data 66 00:02:22,470 --> 00:02:21,360 they process it and the processing takes 67 00:02:25,350 --> 00:02:22,480 place here 68 00:02:27,430 --> 00:02:25,360 um this processing gets completed and 69 00:02:30,229 --> 00:02:27,440 then it it will be available for a 70 00:02:32,550 --> 00:02:30,239 genelab portal so researcher 71 00:02:36,070 --> 00:02:32,560 has their data and it goes into these 72 00:02:39,110 --> 00:02:36,080 tapes right correct um researchers 73 00:02:41,589 --> 00:02:39,120 as well as samples that are obtained 74 00:02:43,430 --> 00:02:41,599 from space flight missions as well as 75 00:02:46,710 --> 00:02:43,440 ground samples are 76 00:02:49,190 --> 00:02:46,720 processed in gene lab in this place and 77 00:02:51,190 --> 00:02:49,200 then they're moved to a portal so that 78 00:02:53,030 --> 00:02:51,200 researchers in the scientific community 79 00:02:55,190 --> 00:02:53,040 will have access to it and that's the 80 00:02:57,190 --> 00:02:55,200 point so everyone has access to this