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

Fetal rat neural progenitor cell transplantation after spinal cord injury improves motor recovery following optogenetic stimulation.

脊髓损伤后,胎鼠神经祖细胞移植可改善光遗传刺激后的运动功能恢复。

Sánchez-Martín María Del Mar, Giraldo Esther, Alastrue-Agudo Ana, López-Mocholi Eric, Martín-Pérez Samuel, Maninno Loris, Paniagua Soriano Guillem, Fraga Sánchez Ana Isabel, Monreal-Trigo Javier, Terrés-Haro José Manuel, Vidal Beneyto Quique, Conesa Ana, van Niekerk Erna, Tuszynski Mark, Moreno-Manzano Victoria

MOSim: bulk and single-cell multilayer regulatory network simulator

MOSim:体细胞和单细胞多层调控网络模拟器

Monzó, Carolina; Aguerralde-Martin, Maider; Martínez-Mira, Carlos; Arzalluz-Luque, Ángeles; Conesa, Ana; Tarazona, Sonia

MORE interpretable multi-omic regulatory networks to characterise phenotypes

更易于解释的多组学调控网络用于表征表型

Aguerralde-Martin, Maider; Clemente-Císcar, Mónica; Conesa, Ana; Tarazona, Sonia

Evaluation of strategies for evidence-driven genome annotation using long-read RNA-seq

利用长读长RNA测序评估循证基因组注释策略

Paniagua, Alejandro; Agustín-García, Cristina; Pardo-Palacios, Francisco J; Brown, Thomas; De Maria, Maite; Denslow, Nancy D; Mazzoni, Camila J; Conesa, Ana

Notable challenges posed by long-read sequencing for the study of transcriptional diversity and genome annotation

长读长测序在转录多样性研究和基因组注释方面面临的显著挑战

Monzó, Carolina; Frankish, Adam; Conesa, Ana

Quality assessment of long read data in multisample lrRNA-seq experiments using SQANTI-reads

使用 SQANTI-reads 对多样本 lrRNA-seq 实验中的长读数据进行质量评估

Keil, Netanya; Monzó, Carolina; McIntyre, Lauren; Conesa, Ana

Extracellular vesicles in the rhizosphere: targets to improve nutrient use efficiency of crops?

根际细胞外囊泡:提高作物养分利用效率的靶点?

Paponov, Ivan A; Schulz, Stefanie; Schloter, Michael; Conesa, Ana; Leshem, Yehoram

Long reads decipher genomes and transcriptomes and offer novel insights into biology and diseases

长读长测序技术能够解析基因组和转录组,并为生物学和疾病研究提供新的见解。

Atanasoska, Maya; Vazharova, Radoslava; Stevanović, Galina; Bradinova, Irena; Staykova, Slavyana Yaneva; Balabanski, Lubomir; Mircheva, Daniela; Avdjieva-Tzavella, Daniela; Toncheva, Draga; Conesa, Ana; Hoischen, Alexander; Sedlazeck, Fritz J

A machine learning approach to identify patients at risk for long-term consequences after pulmonary embolism

利用机器学习方法识别肺栓塞后有长期后遗症风险的患者

Nopp, Stephan; Spielvogel, Clemens; Bikdeli, Behnood; Alberich-Conesa, Ana; Hernández-Blasco, Luis; Peris, Mª Luisa; Otero, Remedios; Jiménez, David; Monreal, Manuel; Ay, Cihan

Profiling conserved transcription factor binding motifs in Phaseolus vulgaris through comparative genomics

通过比较基因组学分析菜豆中保守的转录因子结合基序

Kondratova, Liudmyla; Vallejos, C Eduardo; Conesa, Ana