Evidence map›Paper›PMID 22768980›Full record

ReviewGenomics, proteomics & bioinformatics2012

Review of general algorithmic features for genome assemblers for next generation sequencers.

Bilal Wajid, Erchin Serpedin

Abstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Empirical evaluation of methods forPeerJ. Computer science · 2021
    Article
  9. Review
  10. DeepDeath: Learning to predict the underlying cause of death with Big Data.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2017
    Article
  11. The A, C, G, and T of Genome Assembly.BioMed research international · 2016
    Review
  12. Article
  13. Article
  14. Dissection of the octoploid strawberry genome by deep sequencing of the genomes of Fragaria species.DNA research : an international journal for rapid publication of reports on genes and genomes · 2014
    Article
  15. Article
  16. 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

2 authors.

Bilal WajidDepartment of Electrical Engineering, University of Engineering and Technology, Lahore 54890, Punjab, Pakistan. bilalwajidabbas@hotmail.com
Erchin Serpedin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the realm of bioinformatics and computational biology, the most rudimentary data upon which all the analysis is built is the sequence data of genes, proteins and RNA. The sequence data of the entire genome is the solution to the genome assembly problem. The scope of this contribution is to provide an overview on the art of problem-solving applied within the domain of genome assembly in the next-generation sequencing (NGS) platforms. This article discusses the major genome assemblers that were proposed in the literature during the past decade by outlining their basic working principles. It is intended to act as a qualitative, not a quantitative, tutorial to all working on genome assemblers pertaining to the next generation of sequencers. We discuss the theoretical aspects of various genome assemblers, identifying their working schemes. We also discuss briefly the direction in which the area is headed towards along with discussing core issues on software simplicity.

Indexed as

AlgorithmsGenomeComputational BiologyContig MappingSequence Analysis, DNASoftware

Identifiers

PMID22768980
PMCPMC5054208

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.