ProTrack: An Interactive Multi-Omics Data Browser for Proteogenomic Studies

被引：11

作者：

Calinawan, Anna Pamela ^{[1
]}

Song, Xiaoyu ^{[2
,3
]}

Ji, Jiayi ^{[2
,3
]}

Dhanasekaran, Saravana Mohan ^{[4
]}

Petralia, Francesca ^{[1
]}

Wang, Pei ^{[1
]}

Reva, Boris ^{[1
]}

机构：

[1] Icahn Sch Med Mt Sinai, Dept Genet & Genom Sci, New York, NY 10029 USA

[2] Icahn Sch Med Mt Sinai, Dept Populat Hlth Sci & Policy, New York, NY 10029 USA

[3] Icahn Sch Med Mt Sinai, Tisch Canc Inst, New York, NY 10029 USA

[4] Univ Michigan, Dept Pathol, Ann Arbor, MI 48109 USA

来源：

PROTEOMICS | 2020年 / 20卷 / 21-22期

关键词：

D O I：

10.1002/pmic.201900359

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The Clinical Proteomic Tumor Analysis Consortium (CPTAC) initiative has generated extensive multi-omics data resources of deep proteogenomic profiles for multiple cancer types. To enable the broader community of biological and medical researchers to intuitively query, explore, and download data and analysis results from various CPTAC projects, a prototype user-friendly web application called "ProTrack" is built with the CPTAC clear cell renal cell carcinoma (ccRCC) data set (). Here the salient features of this application which provides a dynamic, comprehensive, and granular visualization of the rich proteogenomic data is described.

引用

页数：5

共 50 条

[41] MuSA: a graphical user interface for multi-OMICs data integration in radiogenomic studies
Mario Zanfardino
Rossana Castaldo
Katia Pane
Ornella Affinito
Marco Aiello
Marco Salvatore
Monica Franzese
Scientific Reports, 11
[42] Editorial: Artificial intelligence and bioinformatics applications for omics and multi-omics studies
Facchiano, Angelo
Heider, Dominik
Mutarelli, Margherita
FRONTIERS IN GENETICS, 2024, 15
[43] Cell-Type-Specific Proteogenomic Signal Diffusion for Integrating Multi-Omics Data Predicts Novel Schizophrenia Risk Genes
Torshizi, Abolfazl Doostparast
Duan, Jubao
Wang, Kai
PATTERNS, 2020, 1 (06):
[44] Interactive gene identification for cancer subtyping based on multi-omics clustering
Ye, Xiucai
Shi, Tianyi
Cui, Yaxuan
Sakurai, Tetsuya
METHODS, 2023, 211 : 61 - 67
[45] MOVICShiny: An interactive website for multi-omics integration and visualisation in cancer subtyping
Zhu, Junkai
Zhu, Yuyao
Wang, Xin
Cheng, Wenxuan
Wang, Shuaiyi
Yang, Junluo
Wang, Wenxuan
Wang, Yuhang
Meng, Jialin
Lu, Xiaofan
Yan, Fangrong
CLINICAL AND TRANSLATIONAL MEDICINE, 2024, 14 (03):
[46] Are multi-omics enough?
Cristina Vilanova
Manuel Porcar
Nature Microbiology, 1 (8)
[47] Editorial: Multi-omics studies and applications in precision medicine
John, Arivusudar Everad
FRONTIERS IN GENETICS, 2022, 13
[48] Undisclosed, unmet and neglected challenges in multi-omics studies
Sonia Tarazona
Angeles Arzalluz-Luque
Ana Conesa
Nature Computational Science, 2021, 1 : 395 - 402
[49] Multi-omics data of gastric cancer cell lines
Seo, Eun-Hye
Shin, Yun-Jae
Kim, Hee-Jin
Kim, Jeong-Hwan
Kim, Yong Sung
Kim, Seon-Young
BMC GENOMIC DATA, 2023, 24 (01):
[50] Multi-omics data integration approaches for precision oncology
Correa-Aguila, Raidel
Alonso-Pupo, Niuxia
Hernandez-Rodriguez, Erix W.
MOLECULAR OMICS, 2022, 18 (06) : 469 - 479

← 1 2 3 4 5 →