Evidence map›Paper›PMID 16275781›Full record

ArticleNucleic acids research2005

An analysis of the feasibility of short read sequencing.

Nava Whiteford, Niall Haslam, Gerald Weber, Adam Prügel-Bennett, Jonathan W Essex, Peter L Roach, Mark Bradley, Cameron Neylon

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Genome research · 2025
    Review
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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

8 authors.

Nava WhitefordSchool of Chemistry, University of Southampton, Southampton SO17 1BJ, UK.
Niall Haslam
Gerald Weber
Adam Prügel-Bennett
Jonathan W Essex
Peter L Roach
Mark Bradley
Cameron Neylon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several methods for ultra high-throughput DNA sequencing are currently under investigation. Many of these methods yield very short blocks of sequence information (reads). Here we report on an analysis showing the level of genome sequencing possible as a function of read length. It is shown that re-sequencing and de novo sequencing of the majority of a bacterial genome is possible with read lengths of 20-30 nt, and that reads of 50 nt can provide reconstructed contigs (a contiguous fragment of sequence data) of 1000 nt and greater that cover 80% of human chromosome 1.

Indexed as

Chromosomes, Human, Pair 1Feasibility StudiesGenome, BacterialGenome, HumanGenome, ViralGenomicsHumansSequence Analysis, DNA

Identifiers

PMID16275781
PMCPMC1278949

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.