.css-1xsl8rf{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;position:relative;overflow:hidden;background:var(--alert-bg);-webkit-padding-start:var(--chakra-space-4);padding-inline-start:var(--chakra-space-4);-webkit-padding-end:var(--chakra-space-4);padding-inline-end:var(--chakra-space-4);padding-top:var(--chakra-space-1);padding-bottom:var(--chakra-space-1);--alert-fg:var(--chakra-colors-orange-600);--alert-bg:var(--chakra-colors-orange-100);font-weight:var(--chakra-fontWeights-semibold);padding-left:var(--chakra-space-4);}.chakra-ui-dark .css-1xsl8rf:not([data-theme]),[data-theme=dark] .css-1xsl8rf:not([data-theme]),.css-1xsl8rf[data-theme=dark]{--alert-fg:var(--chakra-colors-orange-200);--alert-bg:rgba(251, 211, 141, 0.16);}@media screen and (min-width: 48em){.css-1xsl8rf{padding-left:var(--chakra-space-8);}}Bitte aktivieren Sie Javascript um alle Funktionen nutzen zu können und ihre Nutzererfahrung zu verbessern.

Tim Heymann

Planegg / DE

Max Planck Institute of Biochemistry

Weitere Beteiligungen

Di., 22.10.
11:05 – 11:17 10 Min. 2 Min.
Oral presentation
OP-37
End-to-end transfer learning in DIA proteomics for the characterization of unseen peptide modifications
New Technology: AI and Bioinformatics in Mass Spectrometry
Di., 22.10.
11:29 – 11:41 10 Min. 2 Min.
Oral presentation
OP-36
In-depth and high-throughput single-cell proteomics workflow defines function subtypes
Cell Biology Insights
Di., 22.10.
Poster presentation
P-II-0438
Improved proteome coverage and reproducibility in large cohort analyses using packed emitter columns
New Technology: Chromatography