Evidence map›Paper›PMID 33286399›Full record

ArticleEntropy (Basel, Switzerland)2020

Information Theory in Computational Biology: Where We Stand Today.

Pritam Chanda, Eduardo Costa, Jie Hu, Shravan Sukumar, John Van Hemert, Rasna Walia

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Informational rescaling of PCA maps with application to genetic distance.Computational and structural biotechnology journal · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Pathway analysis through mutual information.Bioinformatics (Oxford, England) · 2024
    Article
  8. Application of a novel numerical simulation to biochemical reaction systems.Frontiers in cell and developmental biology · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

6 authors.

Pritam ChandaCorteva Agriscience™, Indianapolis, IN 46268, USA.ORCID 0000-0001-9776-3378
Eduardo CostaCorteva Agriscience™, Mogi Mirim, Sao Paulo 13801-540, Brazil.ORCID 0000-0003-1411-5338
Jie HuCorteva Agriscience™, Indianapolis, IN 46268, USA.
Shravan SukumarCorteva Agriscience™, Indianapolis, IN 46268, USA.
John Van HemertCorteva Agriscience™, Johnston, IA 50131, USA.
Rasna WaliaCorteva Agriscience™, Johnston, IA 50131, USA.ORCID 0000-0001-7088-5535

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"A Mathematical Theory of Communication" was published in 1948 by Claude Shannon to address the problems in the field of data compression and communication over (noisy) communication channels. Since then, the concepts and ideas developed in Shannon's work have formed the basis of information theory, a cornerstone of statistical learning and inference, and has been playing a key role in disciplines such as physics and thermodynamics, probability and statistics, computational sciences and biological sciences. In this article we review the basic information theory based concepts and describe their key applications in multiple major areas of research in computational biology-gene expression and transcriptomics, alignment-free sequence comparison, sequencing and error correction, genome-wide disease-gene association mapping, metabolic networks and metabolomics, and protein sequence, structure and interaction analysis.

Indexed as

computational biologydisease-gene association mappingentropyerror correctiongene expressioninformation theoryinteraction analysismetabolic networksmetabolomicsprotein structuresequence comparisontranscriptomics

Identifiers

PMID33286399
PMCPMC7517167

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.