Evidence map›Paper›PMID 28929968›Full record

ArticleBMC bioinformatics2017

C-State: an interactive web app for simultaneous multi-gene visualization and comparative epigenetic pattern search.

Divya Tej Sowpati, Surabhi Srivastava, Jyotsna Dhawan, Rakesh K Mishra

Abstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Divya Tej SowpatiCSIR- Centre for Cellular and Molecular Biology, Hyderabad, India.
Surabhi SrivastavaCSIR- Centre for Cellular and Molecular Biology, Hyderabad, India. ssurabhi@ccmb.res.in.
Jyotsna DhawanCSIR- Centre for Cellular and Molecular Biology, Hyderabad, India.
Rakesh K MishraCSIR- Centre for Cellular and Molecular Biology, Hyderabad, India. mishra@ccmb.res.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComparative epigenomic analysis across multiple genes presents a bottleneck for bench biologists working with NGS data. Despite the development of standardized peak analysis algorithms, the identification of novel epigenetic patterns and their visualization across gene subsets remains a challenge.

resultsWe developed a fast and interactive web app, C-State (Chromatin-State), to query and plot chromatin landscapes across multiple loci and cell types. C-State has an interactive, JavaScript-based graphical user interface and runs locally in modern web browsers that are pre-installed on all computers, thus eliminating the need for cumbersome data transfer, pre-processing and prior programming knowledge.

conclusionsC-State is unique in its ability to extract and analyze multi-gene epigenetic information. It allows for powerful GUI-based pattern searching and visualization. We include a case study to demonstrate its potential for identifying user-defined epigenetic trends in context of gene expression profiles.

Indexed as

EpigenomicsGenesSoftwareWeb BrowserAlgorithmsEmbryonic Stem CellsGenomicsHeLa CellsHumansInternetK562 CellsPromoter Regions, GeneticTranscription, GeneticChIP-seqChromatin stateEpigenetic patternsGenome browserJavaScriptRNA-seqVisualizationWeb app

Identifiers

PMID28929968
PMCPMC5606219

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.