日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Spatial proteo-transcriptomic profiling reveals the molecular landscape of borderline ovarian tumors and their invasive progression.

空间蛋白质-转录组分析揭示了交界性卵巢肿瘤的分子图谱及其侵袭性进展

Schweizer Lisa, Kenny Hilary A, Krishnan Rahul, Kelliher Lucy, Bilecz Agnes J, Heide Janna, Donle Leonhard, Shimizu Aasa, Metousis Andreas, Mendoza Rachelle, Nordmann Thierry M, Rauch Sarah, Richter Sabrina, Li Yan, Rosenberger Florian A, Strauss Maximilian T, Kurnit Katherine C, Thielert Marvin, Rodriguez Edwin, Müller-Reif Johannes B, Yamada S Diane, Theis Fabian J, Mund Andreas, Lastra Ricardo R, Mann Matthias, Lengyel Ernst

AI-powered Deep Visual Proteomics reveals critical molecular transitions in pancreatic cancer precursors

AI驱动的深度可视化蛋白质组学揭示胰腺癌前体细胞的关键分子转变

Min, Jimin; Schweizer, Lisa; Zonderland, Gijs; Selvanesan, Benson Chellakkan; Oldenburg, Lukas; Bae, Seong-Woo; Kim, Bong Jun; Swanson, Benjamin J; Klute, Kelsey A; Caffrey, Thomas C; Grandgenett, Paul M; Hollingsworth, Michael A; Ummat, Ishani; Strauss, Maximilian T; Mund, Andreas; Maitra, Anirban

AlphaPept: a modern and open framework for MS-based proteomics

AlphaPept:一个现代化的、开放的基于质谱的蛋白质组学框架

Strauss, Maximilian T; Bludau, Isabell; Zeng, Wen-Feng; Voytik, Eugenia; Ammar, Constantin; Schessner, Julia P; Ilango, Rajesh; Gill, Michelle; Meier, Florian; Willems, Sander; Mann, Matthias

Transparent Exploration of Machine Learning for Biomarker Discovery from Proteomics and Omics Data

透明地探索机器学习在蛋白质组学和组学数据中发现生物标志物的应用

Torun, Furkan M; Virreira Winter, Sebastian; Doll, Sophia; Riese, Felix M; Vorobyev, Artem; Mueller-Reif, Johannes B; Geyer, Philipp E; Strauss, Maximilian T

AlphaPeptStats: an open-source Python package for automated and scalable statistical analysis of mass spectrometry-based proteomics

AlphaPeptStats:一个用于基于质谱的蛋白质组学自动化和可扩展统计分析的开源Python软件包

Krismer, Elena; Bludau, Isabell; Strauss, Maximilian T; Mann, Matthias

The structural context of posttranslational modifications at a proteome-wide scale

蛋白质组范围内翻译后修饰的结构背景

Bludau, Isabell; Willems, Sander; Zeng, Wen-Feng; Strauss, Maximilian T; Hansen, Fynn M; Tanzer, Maria C; Karayel, Ozge; Schulman, Brenda A; Mann, Matthias

Picasso-server: a community-based, open-source processing framework for super-resolution data

Picasso-server:一个基于社区的开源超分辨率数据处理框架

Strauss, Maximilian T

AlphaMap: an open-source Python package for the visual annotation of proteomics data with sequence-specific knowledge

AlphaMap:一个开源的Python软件包,用于利用序列特异性知识对蛋白质组学数据进行可视化注释。

Voytik, Eugenia; Bludau, Isabell; Willems, Sander; Hansen, Fynn M; Brunner, Andreas-David; Strauss, Maximilian T; Mann, Matthias

Deep learning the collisional cross sections of the peptide universe from a million experimental values

利用深度学习技术,从一百万个实验值中计算肽类化合物的碰撞截面。

Meier, Florian; Köhler, Niklas D; Brunner, Andreas-David; Wanka, Jean-Marc H; Voytik, Eugenia; Strauss, Maximilian T; Theis, Fabian J; Mann, Matthias

High-resolution serum proteome trajectories in COVID-19 reveal patient-specific seroconversion

COVID-19 患者血清蛋白质组高分辨率轨迹揭示了患者特异性血清转化

Geyer, Philipp E; Arend, Florian M; Doll, Sophia; Louiset, Marie-Luise; Virreira Winter, Sebastian; Müller-Reif, Johannes B; Torun, Furkan M; Weigand, Michael; Eichhorn, Peter; Bruegel, Mathias; Strauss, Maximilian T; Holdt, Lesca M; Mann, Matthias; Teupser, Daniel