Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 3,078

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Artemis: sequence visualization and annotation

Open access
Rutherford, Kim, Parkhill, Julian, Crook, James, Horsnell, Terry, Rice, Peter, Rajandream, Marie-Adèle, Barrell, Bart·2000·Bioinformatics

Abstract

Summary: Artemis is a DNA sequence visualization and annotation tool that allows the results of any analysis or sets of analyses to be viewed in the context of the sequence and its six-frame translation. Artemis is especially useful in analysing the compact genomes of bacteria, archaea and lower eukaryotes, and will cope with sequences of any size from small genes to whole genomes. It is implemented in Java, and can be run on any suitable platform. Sequences and annotation can be read and written directly in EMBL, GenBank and GFF format. Availability: Artemis is available under the GNU General Public License from http://www.sanger.ac.uk/Software/Artemis Contact: kmr@sanger.ac.uk

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 · 10.1093/bioinformatics/16.10.944

Cites

1 of 1 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

  • Basic local alignment search tool

    Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669

Show all 1 references

Cited by

See all 3,078

Metadata

Authors
Rutherford, K., Parkhill, J., Crook, J., Horsnell, T., Rice, P., Rajandream, M.-A., & Barrell, B.
Venue
Bioinformatics
Published
2000-10-01
Volume
16
Issue
10
Pages
944-945
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2170488656
Cited by
3,078
References
1
FWCI
12.50
Type
journal article
Language
en
Open access
bronze

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: Artemis: sequence visualization and annotation. https://app.cochat.ai/papers/10.1093/bioinformatics/16.10.944
The paper
Rutherford, K., Parkhill, J., Crook, J., Horsnell, T., Rice, P., Rajandream, M.-A., & Barrell, B. (2000). Artemis: sequence visualization and annotation. Bioinformatics. https://doi.org/10.1093/bioinformatics/16.10.944

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.