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

NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data

NetTCR-2.0 利用配对的 TCRα 和 β 序列数据,能够准确预测 TCR-肽结合情况。

Montemurro, Alessandro; Schuster, Viktoria; Povlsen, Helle Rus; Bentzen, Amalie Kai; Jurtz, Vanessa; Chronister, William D; Crinklaw, Austin; Hadrup, Sine R; Winther, Ole; Peters, Bjoern; Jessen, Leon Eyrich; Nielsen, Morten

Deep learning reveals 3D atherosclerotic plaque distribution and composition

深度学习揭示了动脉粥样硬化斑块的三维分布和组成

Jurtz, Vanessa Isabell; Skovbjerg, Grethe; Salinas, Casper Gravesen; Roostalu, Urmas; Pedersen, Louise; Hecksher-Sørensen, Jacob; Rolin, Bidda; Nyberg, Michael; van de Bunt, Martijn; Ingvorsen, Camilla

Quantitative whole-brain 3D imaging of tyrosine hydroxylase-labeled neuron architecture in the mouse MPTP model of Parkinson's disease

帕金森病小鼠 MPTP 模型中酪氨酸羟化酶标记神经元结构的定量全脑 3D 成像

Urmas Roostalu, Casper B G Salinas, Ditte D Thorbek, Jacob L Skytte, Katrine Fabricius, Pernille Barkholt, Linu M John, Vanessa Isabell Jurtz, Lotte Bjerre Knudsen, Jacob Jelsing, Niels Vrang, Henrik H Hansen, Jacob Hecksher-Sørensen

NetH2pan: A Computational Tool to Guide MHC Peptide Prediction on Murine Tumors

NetH2pan:一种用于指导小鼠肿瘤MHC肽预测的计算工具

DeVette, Christa I; Andreatta, Massimo; Bardet, Wilfried; Cate, Steven J; Jurtz, Vanessa I; Jackson, Kenneth W; Welm, Alana L; Nielsen, Morten; Hildebrand, William H

Corrigendum: An Analysis of Natural T Cell Responses to Predicted Tumor Neoepitopes

更正:对预测肿瘤新抗原的天然T细胞反应的分析

Bjerregaard, Anne-Mette; Nielsen, Morten; Jurtz, Vanessa; Barra, Carolina M; Hadrup, Sine Reker; Szallasi, Zoltan; Eklund, Aron Charles

Article Watch: December 2018

文章观察:2018年12月

Jurtz, Vanessa; Paul, Sinu; Andreatta, Massimo; Marcatili, Paolo; Peters, Bjoern; Nielsen, Morten; McCormick, Scott C; Kriel, Frederik H; Ivask, Angela; Tong, Ziqiu; Lombi, Enzo; Voelcker, Nicolas H; Priest, Craig; Slaughter, Clive A

An Analysis of Natural T Cell Responses to Predicted Tumor Neoepitopes

对预测肿瘤新抗原的天然T细胞反应的分析

Bjerregaard, Anne-Mette; Nielsen, Morten; Jurtz, Vanessa; Barra, Carolina M; Hadrup, Sine Reker; Szallasi, Zoltan; Eklund, Aron Charles

Machine learning reveals a non-canonical mode of peptide binding to MHC class II molecules

机器学习揭示了肽与MHC II类分子结合的一种非典型模式

Andreatta, Massimo; Jurtz, Vanessa I; Kaever, Thomas; Sette, Alessandro; Peters, Bjoern; Nielsen, Morten

MetaPhinder-Identifying Bacteriophage Sequences in Metagenomic Data Sets

MetaPhinder——用于识别宏基因组数据集中的噬菌体序列

Jurtz, Vanessa Isabell; Villarroel, Julia; Lund, Ole; Voldby Larsen, Mette; Nielsen, Morten

A Bacterial Analysis Platform: An Integrated System for Analysing Bacterial Whole Genome Sequencing Data for Clinical Diagnostics and Surveillance

细菌分析平台:用于临床诊断和监测的细菌全基因组测序数据分析集成系统

Thomsen, Martin Christen Frølund; Ahrenfeldt, Johanne; Cisneros, Jose Luis Bellod; Jurtz, Vanessa; Larsen, Mette Voldby; Hasman, Henrik; Aarestrup, Frank Møller; Lund, Ole