Evidence map›Paper›PMID 29654070›Full record

ArticleGenome research2018

A novel

Yuchun Guo, Kevin Tian, Haoyang Zeng, Xiaoyun Guo, David Kenneth Gifford

Abstract read
In one paragraph

Article in Genome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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

5 authors.

Yuchun GuoComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.ORCID 0000-0003-2357-1546
Kevin TianComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.ORCID 0000-0003-0109-9201
Haoyang ZengComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.ORCID 0000-0003-1057-2865
Xiaoyun GuoComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.ORCID 0000-0002-2307-637X
David Kenneth GiffordComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.ORCID 0000-0003-1709-4034

Funding

High-throughput methods for elucidating the control of chromatin accessibilityR01HG008363 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GIFFORD, DAVID K · 2015 to 2017
$2.3M
Integrated Genome Discovery at Single Base Pair ResolutionU01HG007037 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GIFFORD, DAVID K · 2012 to 2015
$2.2M
NHGRI NIH HHS R01 HG008363NHGRI NIH HHS U01 HG007037
6 · The paper itself

Abstract

The representation and discovery of transcription factor (TF) sequence binding specificities is critical for understanding gene regulatory networks and interpreting the impact of disease-associated noncoding genetic variants. We present a novel TF binding motif representation, the

Indexed as

AlgorithmsBinding SitesChromatin ImmunoprecipitationComputational BiologyGene Regulatory NetworksHumansPosition-Specific Scoring MatricesProtein BindingQuantitative Trait LociTranscription FactorsTranscription Factors

Identifiers

PMID29654070
PMCPMC5991515

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.