Evidence map›Paper›PMID 29617727›Full record

ReviewBriefings in bioinformatics2019

A survey and evaluation of Web-based tools/databases for variant analysis of TCGA data.

Zhuo Zhang, Hao Li, Shuai Jiang, Ruijiang Li, Wanying Li, Hebing Chen, Xiaochen Bo

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Rapid Exploratory Data Visualization for Cancer Genomics.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. Article
  3. Review
  4. Comprehensive gene set enrichment and variation analyses identifyComputational and structural biotechnology journal · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Function of TRPC1 in modulating hepatocellular carcinoma progression.Medical oncology (Northwood, London, England) · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Lung Cancer Computational Biology and Resources.Cold Spring Harbor perspectives in medicine · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zhuo ZhangBeijing Institute of Radiation Medicine, Beijing 100850, China.
Hao LiBeijing Institute of Radiation Medicine, Beijing 100850, China.
Shuai JiangBeijing Institute of Radiation Medicine, Beijing 100850, China.
Ruijiang LiBeijing Institute of Radiation Medicine, Beijing 100850, China.
Wanying LiBeijing Institute of Radiation Medicine, Beijing 100850, China.
Hebing ChenBeijing Institute of Radiation Medicine, Beijing 100850, China.
Xiaochen BoBeijing Institute of Radiation Medicine, Beijing 100850, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Cancer Genome Atlas (TCGA) is a publicly funded project that aims to catalog and discover major cancer-causing genomic alterations with the goal of creating a comprehensive 'atlas' of cancer genomic profiles. The availability of this genome-wide information provides an unprecedented opportunity to expand our knowledge of tumourigenesis. Computational analytics and mining are frequently used as effective tools for exploring this byzantine series of biological and biomedical data. However, some of the more advanced computational tools are often difficult to understand or use, thereby limiting their application by scientists who do not have a strong computational background. Hence, it is of great importance to build user-friendly interfaces that allow both computational scientists and life scientists without a computational background to gain greater biological and medical insights. To that end, this survey was designed to systematically present available Web-based tools and facilitate the use TCGA data for cancer research.

Indexed as

Biomarkers, TumorComputational BiologyDatabases, GeneticGene Expression ProfilingGenomicsHumansInternetMutationNeoplasmsSoftwareSurveys and QuestionnairesSurvival AnalysisUser-Computer InterfaceBiomarkers, Tumorbioinformatics toolscancerdatabasessurveyThe Cancer Genome Atlas

Identifiers

PMID29617727
PMCPMC6781580

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.