CAMOIP: a web server for comprehensive analysis on multi-omics of immunotherapy in pan-cancer

免疫疗法 计算生物学 免疫原性 癌症免疫疗法 癌症 计算机科学 免疫系统 医学 生物信息学 生物 免疫学 内科学
作者
Anqi Lin,Chang Qi,Ting Wei,Mengyao Li,Quan Cheng,Zaoqu Liu,Peng Luo,Jian Zhang
出处
期刊:Briefings in Bioinformatics [Oxford University Press]
卷期号:23 (3) 被引量:78
标识
DOI:10.1093/bib/bbac129
摘要

Immune checkpoint inhibitors (ICIs) have completely changed the approach pertaining to tumor diagnostics and treatment. Similarly, immunotherapy has also provided much needed data about mutation, expression and prognosis, affording an unprecedented opportunity for discovering candidate drug targets and screening for immunotherapy-relevant biomarkers. Although existing web tools enable biologists to analyze the expression, mutation and prognostic data of tumors, they are currently unable to facilitate data mining and mechanism analyses specifically related to immunotherapy. Thus, we effectively developed our own web-based tool, called Comprehensive Analysis on Multi-Omics of Immunotherapy in Pan-cancer (CAMOIP), in which we are able to successfully screen various prognostic markers and analyze the mechanisms involved in biomarker expression and function, as well as immunotherapy. The analyses include information relevant to survival analysis, expression analysis, mutational landscape analysis, immune infiltration analysis, immunogenicity analysis and pathway enrichment analysis. This comprehensive analysis of biomarkers for immunotherapy can be carried out by a click of CAMOIP, and the software should greatly encourage the further development of immunotherapy. CAMOIP provides invaluable evidence that bridges the information between the data of cancer genomics based on immunotherapy, providing comprehensive information to users and assisting in making the value of current ICI-treated data available to all users. CAMOIP is available at https://www.camoip.net.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
姆问题完成签到,获得积分20
刚刚
思源应助科研通管家采纳,获得30
1秒前
研友_VZG7GZ应助科研通管家采纳,获得10
1秒前
四福祥发布了新的文献求助10
1秒前
顾矜应助科研通管家采纳,获得10
1秒前
Ava应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
情怀应助tad81采纳,获得10
1秒前
酷炫贞完成签到,获得积分10
2秒前
2秒前
惠须一饮三杯杯完成签到,获得积分10
3秒前
3秒前
3秒前
所所应助kjding采纳,获得10
3秒前
丛丛发布了新的文献求助10
4秒前
5秒前
丘比特应助Maka采纳,获得10
5秒前
R喻andom发布了新的文献求助10
5秒前
乐乐应助酷炫迎波采纳,获得10
6秒前
云瑾应助不发一区不改名采纳,获得10
7秒前
wang完成签到,获得积分10
7秒前
yyy发布了新的文献求助10
7秒前
顾矜应助姆问题采纳,获得10
7秒前
胖达发布了新的文献求助10
8秒前
KKKZ完成签到,获得积分10
8秒前
9秒前
暖暖发布了新的文献求助10
10秒前
MaHongyang完成签到,获得积分10
10秒前
11秒前
啊哈发布了新的文献求助10
11秒前
12秒前
jg发布了新的文献求助10
12秒前
13秒前
墨殇璃完成签到,获得积分10
14秒前
14秒前
14秒前
001发布了新的文献求助10
15秒前
Jenny完成签到,获得积分10
15秒前
kjding发布了新的文献求助10
16秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
юрские динозавры восточного забайкалья 800
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi 400
Classics in Total Synthesis IV 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3150133
求助须知:如何正确求助?哪些是违规求助? 2801290
关于积分的说明 7843877
捐赠科研通 2458770
什么是DOI,文献DOI怎么找? 1308652
科研通“疑难数据库(出版商)”最低求助积分说明 628556
版权声明 601721