Evidence map›Paper›PMID 24197932›Full record

ReviewBriefings in bioinformatics2014

Applications of alignment-free methods in epigenomics.

Luca Pinello, Giosuè Lo Bosco, Guo-Cheng Yuan

Abstract readReview
In one paragraph

Review in Briefings in bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. MIAOME: Human microbiome affect the host epigenome.Computational and structural biotechnology journal · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
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

3 authors.

Luca PinelloDipartimento di Matematica e Informatica, Via Archirafi 34, 90123 Palermo-Italy. giosue.lobosco@unipa.it; Guo-Cheng Yuan, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA 02215, USA. E-mail: gcyuan@jimmy.harvard.edu.
Giosuè Lo Bosco
Guo-Cheng Yuan

Funding

Toward a systematic understanding of targeting mechanisms for epigenetic factorsR01HG005085 · NHGRI · DANA-FARBER CANCER INST · PI YUAN, GUO-CHENG · 2011 to 2014
$1.7M
NHGRI NIH HHS HG005085NHGRI NIH HHS R01 HG005085
6 · The paper itself

Abstract

Epigenetic mechanisms play an important role in the regulation of cell type-specific gene activities, yet how epigenetic patterns are established and maintained remains poorly understood. Recent studies have supported a role of DNA sequences in recruitment of epigenetic regulators. Alignment-free methods have been applied to identify distinct sequence features that are associated with epigenetic patterns and to predict epigenomic profiles. Here, we review recent advances in such applications, including the methods to map DNA sequence to feature space, sequence comparison and prediction models. Computational studies using these methods have provided important insights into the epigenetic regulatory mechanisms.

Indexed as

Artificial IntelligenceChromosome MappingComputational BiologyEpigenesis, GeneticEpigenomicsHumansModels, GeneticSequence AlignmentSequence Analysis, DNASupport Vector Machinealignment-free methodDNA sequenceepigeneticsmachine learningnucleosome

Identifiers

PMID24197932
PMCPMC4017331

What OpenQuestion holds

Textmetadata
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.