Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 373

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Advanced sequencing technologies and their wider impact in microbiology

Hall, Neil·2007·Journal of Experimental Biology

Abstract

SUMMARY: In the past 10 years, microbiology has undergone a revolution that has been driven by access to cheap high-throughput DNA sequencing. It was not long ago that the cloning and sequencing of a target gene could take months or years,whereas now this entire process has been replaced by a 10 min Internet search of a public genome database. There has been no single innovation that has initiated this rapid technological change; in fact, the core chemistry of DNA sequencing is the same as it was 30 years ago. Instead, progress has been driven by large sequencing centers that have incrementally industrialized the Sanger sequencing method. A side effect of this industrialization is that large-scale sequencing has moved out of small research labs, and the vast majority of sequence data is now generated by large genome centers. Recently,there have been advances in technology that will enable high-throughput genome sequencing to be established in research labs using bench-top instrumentation. These new technologies are already being used to explore the vast microbial diversity in the natural environment and the untapped genetic variation that can occur in bacterial species. It is expected that these powerful new methods will open up new questions to genomic investigation and will also allow high-throughput sequencing to be more than just a discovery exercise but also a routine assay for hypothesis testing. While this review will concentrate on microorganisms, many of the important arguments about the need to measure and understand variation at the species, population and ecosystem level will hold true for many other biological systems.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1242/jeb.001370

Cites

52 of 52 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 52 references

Cited by

See all 373

Metadata

Authors
Hall, N.
Venue
Journal of Experimental Biology
Published
2007-05-01
Volume
210
Issue
9
Pages
1518-1525
ISSN
  • 0022-0949 (ISSN-L)
  • 1477-9145
OpenAlex
W2156389165
Cited by
373
References
52
FWCI
15.45
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Advanced sequencing technologies and their wider impact in microbiology. https://app.cochat.ai/papers/10.1242/jeb.001370
The paper
Hall, N. (2007). Advanced sequencing technologies and their wider impact in microbiology. Journal of Experimental Biology. https://doi.org/10.1242/jeb.001370

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.