Published December 17, 2021
| Version v2
Video/Audio
Open
GNOSIS: an R Shiny app supporting cancer genomics survival analysis with cBioPortal
- 1. The SFI Centre for Research Training in Genomics Data Science, National University of Ireland Galway, Ireland. Bioinformatics and Biostatistics Research Cluster, School of Mathematical and Statistical Sciences, National University of Ireland Galway, Ireland.
- 2. Centre for Chromosome Biology, Biochemistry, School of Natural Sciences, National University of Ireland Galway, Ireland.
- 3. Bioinformatics and Biostatistics Research Cluster, School of Mathematical and Statistical Sciences, National University of Ireland Galway, Ireland.
- 4. School of Mathematical and Statistical Sciences, National University of Ireland Galway, Ireland.
Description
GNOSIS Instructional videos.
Files
GNOSIS_Tab_10_Maftools.mp4
Files
(450.9 MB)
Name | Size | Download all |
---|---|---|
md5:0d172f4c542e78643f9aba1629e8e5bb
|
15.4 MB | Preview Download |
md5:03298866b5938496b3a758e6e952b3db
|
14.1 MB | Preview Download |
md5:685a4b52a3bf53c82d5c3d6102796808
|
21.1 MB | Preview Download |
md5:cb0a6329547f4ac1f300fef620d08b96
|
19.2 MB | Preview Download |
md5:7071ebbfda786edf7d10f5aa8430b8fc
|
19.8 MB | Preview Download |
md5:6af1b3c5b74ab4e767a1923309682b14
|
18.1 MB | Preview Download |
md5:b9337ea01a4575bfedf067e9e28eb7c2
|
10.2 MB | Preview Download |
md5:a9f83ae6bd61f8a2b3225a3d9e401d7e
|
9.6 MB | Preview Download |
md5:96ce0903a0804db4c5237a112887f270
|
44.4 MB | Preview Download |
md5:ca0a710e355dbcfaa5f6f6f36cbc3433
|
41.0 MB | Preview Download |
md5:ec9a043b38b0b4c66543816cac04a967
|
34.9 MB | Preview Download |
md5:f591d67f5b9a84075c00ce474c040419
|
29.8 MB | Preview Download |
md5:07e342f580511fba3ed596e4b2b978b1
|
21.9 MB | Preview Download |
md5:082471fce651deab940a5e1e437a92fb
|
19.2 MB | Preview Download |
md5:509af2315016a46a166ea1d30028f3a1
|
19.1 MB | Preview Download |
md5:9c3833ae2747c3b594120e50b14993e9
|
17.1 MB | Preview Download |
md5:4592fc20f9e003524847aca875a272ea
|
20.0 MB | Preview Download |
md5:369a70379cae80255aad84b27974bdb1
|
17.2 MB | Preview Download |
md5:4f28f7bc2ead570e567c93c3f6a836d9
|
15.1 MB | Preview Download |
md5:a9eb8bc2d66f9a927d0cdb685a9699ca
|
13.3 MB | Preview Download |
md5:e51c0687ce3d9217fd29a41a216d0223
|
16.4 MB | Preview Download |
md5:ec023aa9a04d81ee5a53221fc18cfb6f
|
14.0 MB | Preview Download |
Additional details
Related works
- References
- Journal article: 0.1371/journal.pone.0245042 (Handle)