FastaLake

downstream-application · Hybrid de novo + database search

FastaLake: downstream-application · Hybrid de novo + database search. Metaproteomics workflow that uses full-length AlphaNovo de novo peptide predictions as exact queries to select compact search databases from large sequence reservoirs…

Metaproteomics workflow that uses full-length AlphaNovo de novo peptide predictions as exact queries to select compact search databases from large sequence reservoirs, then searches them with Sage. Matched metagenome-derived databases in two stool cohorts and found 20-35% more peptides in intestinal fluid, without matched metagenomic sequencing.

Kind downstream-application
Deep learning yes
Acquisition DDA
Family Hybrid de novo + database search
Application area Metaproteomics

Code

Live stars, open issues and last-push figures are on the Code activity chart.

Data

What the papers describing this method trained it on and reported its results on, as each paper states it. A version is named only where the paper names one.

Also used, purpose not recorded

Paper describing it

Authors (25)

Peter V. Treit, Florian A. Rosenberger, Philip Hartout, Mikhail Lebedev, Jinqiu Xiao, Maximilian Zwiebel, Philipp E. Geyer, Ankit Sinha, Georg Wallmann, Vincenth Brennsteiner, Kathrin Korff, Edwin H. Rodriguez, Wen-Feng Zeng, Maximilian T. Strauss, Marisa I. Keller, Michael Kuhn, Jonel Trebicka, Christophe Junot, Mani Arumugam, Jessica A. Grembi, Dari Shalon, Kerwyn Casey Huang, Karsten Borgwardt, Johannes B. Mueller-Reif, Matthias Mann

Seen in the charts

Back to the full map

Back to top