Evidence map›Paper›PMID 23358380›Full record

ReviewNature reviews. Genetics2013

Sequence assembly demystified.

Niranjan Nagarajan, Mihai Pop

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 1 pooled it
–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

192 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. GapSense: Similarity Estimation-Based Gap Filler with TGS-Reads for Genome Assemblies.Interdisciplinary sciences, computational life sciences · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
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  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. ULTRA-Effective Labeling of Repetitive Genomic Sequence.bioRxiv : the preprint server for biology · 2024
    Article

132 more citing papers are in PubMed but not listed here.

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.

Niranjan NagarajanComputational and Systems Biology, Genome Institute of Singapore, 138672 Singapore.
Mihai Pop

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in sequencing technologies and increased access to sequencing services have led to renewed interest in sequence and genome assembly. Concurrently, new applications for sequencing have emerged, including gene expression analysis, discovery of genomic variants and metagenomics, and each of these has different needs and challenges in terms of assembly. We survey the theoretical foundations that underlie modern assembly and highlight the options and practical trade-offs that need to be considered, focusing on how individual features address the needs of specific applications. We also review key software and the interplay between experimental design and efficacy of assembly.

Indexed as

Computational BiologyGenome, HumanHumansMetagenomicsSequence Analysis, DNASoftware

Identifiers

PMID23358380

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.