Immunopipe: A comprehensive and flexible scRNA-seq and scTCR-seq data analysis pipeline

被引：0
|
作者：
Wang, Panwen
Dong, Haidong
Yu, Yue
Zhang, Shuwen
Sun, Zhifu
Kocher, Jean-Pierre A.
Wang, Junwen
Yi, Lin
Li, Ying
机构：
来源：
CANCER RESEARCH | 2024年 / 84卷 / 06期
关键词：
D O I：
10.1158/1538-7445.AM2024-4959
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
4959
引用
收藏
页数：2
相关论文
共 50 条
  • [1] LRT: Integrative analysis of scRNA-seq and scTCR-seq data to investigate clonal differentiation heterogeneity
    Xie, Juan
    Jeon, Hyeongseon
    Xin, Gang
    Ma, Qin
    Chung, Dongjun
    PLOS COMPUTATIONAL BIOLOGY, 2023, 19 (07)
  • [2] Identification of neoantigen-sepcfic T cells by scRNA-Seq and scTCR-Seq
    Kobayashi, Yukari
    Nagaoka, Koji
    Okamoto, Sachiko
    Enoki, Tatsuji
    Mineno, Junichi
    Kakimi, Kazuhiro
    CANCER SCIENCE, 2023, 114 : 1424 - 1424
  • [3] Scdrake: a reproducible and scalable pipeline for scRNA-seq data analysis
    Kubovciak, Jan
    Kolar, Michal
    Novotny, Jiri
    BIOINFORMATICS ADVANCES, 2023, 3 (01):
  • [4] Comparison of scRNA-seq data analysis method combinations
    Xu, Li
    Xue, Tong
    Ding, Weiyue
    Shen, Linshan
    BRIEFINGS IN FUNCTIONAL GENOMICS, 2022, 21 (06) : 433 - 440
  • [5] Improved tool for scRNA-seq analysis
    Fletcher, Michael
    NATURE GENETICS, 2024, 56 (12) : 2589 - 2589
  • [6] scRNA-seq data analysis method to improve analysis performance
    Lu, Junru
    Sheng, Yuqi
    Qian, Weiheng
    Pan, Min
    Zhao, Xiangwei
    Ge, Qinyu
    IET NANOBIOTECHNOLOGY, 2023, 17 (03) : 246 - 256
  • [7] Computational approaches for interpreting scRNA-seq data
    Rostom, Raghd
    Svensson, Valentine
    Teichmann, Sarah A.
    Kar, Gozde
    FEBS LETTERS, 2017, 591 (15) : 2213 - 2225
  • [8] A Deep Learning Pipeline for the Automatic cell type Assignment of scRNA-seq Data
    Riva, Simone G.
    Myers, Brynelle
    Cazzaniga, Paolo
    Tangherloni, Andrea
    2022 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (IEEE CIBCB 2022), 2022, : 67 - 74
  • [9] Cerebro: interactive visualization of scRNA-seq data
    Hillje, Roman
    Pelicci, Pier Giuseppe
    Luzi, Lucilla
    BIOINFORMATICS, 2020, 36 (07) : 2311 - 2313
  • [10] Simulating scRNA-seq for benchmarks
    Michael Fletcher
    Nature Genetics, 2023, 55 : 904 - 904
12345