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GLIMMER

software

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Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionSep 15, 2026
Entity authorityQ5513624
Source-derived summary

In bioinformatics, GLIMMER (Gene Locator and Interpolated Markov ModelER) is used to find genes in prokaryotic DNA. "It is effective at finding genes in bacteria, archea, viruses, typically finding 98-99% of all relatively long protein coding genes". GLIMMER was the first system that used the interpolated Markov model to identify coding regions. The GLIMMER software is open source and is maintained by Steven Salzberg, Art Delcher, and their colleagues at the Center for Computational Biology at Johns Hopkins University. The original GLIMMER algorithms and software were designed by Art Delcher, Simon Kasif and Steven Salzberg and applied to bacterial genome annotation in collaboration with Owen White.

Versions

GLIMMER 1.0

First Version of GLIMMER "i.e., GLIMMER 1.0" was released in 1998 and it was published in the paper Microbial gene identification using interpolated Markov model. Markov models were used to identify microbial genes in GLIMMER 1.0. GLIMMER considers the local composition sequence dependencies which makes GLIMMER more flexible and more powerful when compared to fixed-order Markov model.

There was a comparison made between interpolated Markov model used by GLIMMER and fifth order Markov model in the paper Microbial gene identification using interpolated Markov models. "GLIMMER algorithm found 1680 genes out of 1717 annotated genes in Haemophilus influenzae where fifth order Markov model found 1574 genes. GLIMMER found 209 additional genes which were not included in 1717 annotated genes where fifth order Markov model found 104 genes."'

GLIMMER 2.0

Second Version of GLIMMER i.e., GLIMMER 2.0 was released in 1999 and it was published in the paper Improved microbial identification with GLIMMER. This paper provides significant technical improvements such as using interpolated context model instead of interpolated Markov model and resolving overlapping genes which improves the accuracy of GLIMMER.

Interpolated context models are used instead of interpolated Markov model which gives the flexibility to select any base.

Editorial summary

The public source identifies “GLIMMER” as software. This brief keeps that definition visible, then builds a research path around GLIMMER and software.

Editorial reviewA sound reference starting point where classification, measurement and the date of the underlying evidence remain visible. The current lead gives the account dated anchors—1998, 1680, 1717, 1574—that can be checked directly. The selected authority fields contribute no independent date. Its value is orientation rather than verdict, with GLIMMER and software providing the first useful test.
Editorial analysis

Why this record matters

A short description can identify a subject without explaining its stakes. For “GLIMMER”, the useful work is to connect “software” to the records capable of establishing context and consequence.

Evidence profile

Datasets, specimens, observations and peer-reviewed methods provide the appropriate test for the technical claims summarized here. The source revision retrieved here is dated Sep 15, 2026. The linked authority identifier is Q5513624. 1 of 1 selected statements include explicit references; 0 carry qualifiers and 0 use preferred rank. The first chronological checks are 1998, 1680, 1717 and 1574.

Critical limits

Scientific names, classifications and consensus can change while older terminology persists in catalogues and historical literature. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

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Primary datasets, specimen catalogues, standards bodies and the most recent peer-reviewed literature.

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  2. Expand the search: follow GLIMMER primary sources, GLIMMER archive and GLIMMER research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

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Source & attribution

This entry incorporates text from GLIMMER” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.