May Institute 2024 Program 6 - Analysis of mass spectrometry images with Cardinal by Dr. Kylie Bemis
5:46:59
May Institute 2024 Program 6 - Analysis of mass spectrometry images with Cardinal by Dr. Kylie Bemis
May Institute 2020 Online - Future developers meeting
2:58:59
May Institute 2020 Online - Future developers meeting
May Institute 2020 online - Olga Vitek and Ting Huang : Introduction to MSstatsTMT
1:51:27
May Institute 2020 online - Olga Vitek and Ting Huang : Introduction to MSstatsTMT
May Institute 2020 Online - Kylie Bemis : Cardinal.msi design principles and code walk
1:52:25
May Institute 2020 Online - Kylie Bemis : Cardinal.msi design principles and code walk
May Institute 2020 Online - Laurent Gatto: MSnbase design principles and code walk
1:30:36
May Institute 2020 Online - Laurent Gatto: MSnbase design principles and code walk
May Institute 2020 Online - Olga Vitek and Meena Choi: Introduction to MSstats
2:45:09
May Institute 2020 Online - Olga Vitek and Meena Choi: Introduction to MSstats
May Institute 2020 Online - Kylie Bemis: Intermediate R crash course for MS practitioners
2:05:05
May Institute 2020 Online - Kylie Bemis: Intermediate R crash course for MS practitioners
May Institute 2020 Online - Brendan MacLean: Skyline for DIA, part2
2:25:44
May Institute 2020 Online - Brendan MacLean: Skyline for DIA, part2
May Institute 2020 Online - Ruedi Aebersold: Modern technology for modern biology
1:48:21
May Institute 2020 Online - Ruedi Aebersold: Modern technology for modern biology
May Institute 2020 Online - Bernhard Kuster: Large-scale proteomics with TMT
1:37:10
May Institute 2020 Online - Bernhard Kuster: Large-scale proteomics with TMT
May Institute 2020 Online - Lindsay Pino: Targeted analysis with Skyline, a PRM perspective
1:31:16
May Institute 2020 Online - Lindsay Pino: Targeted analysis with Skyline, a PRM perspective
May Institute 2020 online - Alicia Williams: Scientific writing workshop
2:22:39
May Institute 2020 online - Alicia Williams: Scientific writing workshop
NEU19 P5 Day 2 am 11 30 Bemis Functions in R
1:31:18
NEU19 P5 Day 2 am 11 30 Bemis Functions in R
NEU19 P7 Day 2 am 11 00 Gatto Bioconductor for MS
1:18:37
NEU19 P7 Day 2 am 11 00 Gatto Bioconductor for MS
NEU19 P9 Day 3 pm 01 30 Choi Stat analysis
1:08:49
NEU19 P9 Day 3 pm 01 30 Choi Stat analysis
NEU19 P9 Day 3 am 11 00 MacLean Hands on Selevsek data
1:38:26
NEU19 P9 Day 3 am 11 00 MacLean Hands on Selevsek data
NEU19 P5 Day 2 pm 01 30 Bemis Developing methods
1:27:43
NEU19 P5 Day 2 pm 01 30 Bemis Developing methods
NEU19 P9 Day 3 pm 03 30 Abersold Keynote wrap
1:21:37
NEU19 P9 Day 3 pm 03 30 Abersold Keynote wrap
NEU19 P9 Day 1 pm 03 30 Searle Intro to DIA
1:41:04
NEU19 P9 Day 1 pm 03 30 Searle Intro to DIA
NEU19 P9 Day 3 am 09 00 MacLean Hands on proteome wide queries
1:32:14
NEU19 P9 Day 3 am 09 00 MacLean Hands on proteome wide queries
NEU19 P9 Day 2 pm 03 30 MacLean Hands on Bruderer data
1:31:23
NEU19 P9 Day 2 pm 03 30 MacLean Hands on Bruderer data
NEU19 P9 Day 1 pm 05 00 MacLean Skyline for DIA
53:23
NEU19 P9 Day 1 pm 05 00 MacLean Skyline for DIA
NEU19 P5 Day 3 pm 01 30 Bemis Debugging extending R
1:27:10
NEU19 P5 Day 3 pm 01 30 Bemis Debugging extending R
NEU19 P5 Day 3 pm 03 30 Becker Keynote Reproducibility
1:40:36
NEU19 P5 Day 3 pm 03 30 Becker Keynote Reproducibility
NEU19 P5 Day 3 am 11 00 Bemis Scalability in R (audio challenging)
1:11:00
NEU19 P5 Day 3 am 11 00 Bemis Scalability in R (audio challenging)
NEU19 P9 Day 2 pm 01 30 MacCoss Keynote
1:31:57
NEU19 P9 Day 2 pm 01 30 MacCoss Keynote
NEU19 P9 Day 1 pm 01 30 Aebersold data considerations
1:31:02
NEU19 P9 Day 1 pm 01 30 Aebersold data considerations
NEU19 P7 Day 3 am 11 00 Gatto Interactive data viz
1:16:57
NEU19 P7 Day 3 am 11 00 Gatto Interactive data viz
NEU19 P7 Day 3 am 11 00 Gatto Interactive data viz2
1:16:57
NEU19 P7 Day 3 am 11 00 Gatto Interactive data viz2
NEU19 P7 Day 3 am 09 00 Gehlenborg Viz of genomic data
1:32:02
NEU19 P7 Day 3 am 09 00 Gehlenborg Viz of genomic data