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WebLogo: A Sequence Logo Generator: Figure 1
Open accessAbstract
WebLogo generates sequence logos, graphical representations of the patterns within a multiple sequence alignment. Sequence logos provide a richer and more precise description of sequence similarity than consensus sequences and can rapidly reveal significant features of the alignment otherwise difficult to perceive. Each logo consists of stacks of letters, one stack for each position in the sequence. The overall height of each stack indicates the sequence conservation at that position (measured in bits), whereas the height of symbols within the stack reflects the relative frequency of the corresponding amino or nucleic acid at that position. WebLogo has been enhanced recently with additional features and options, to provide a convenient and highly configurable sequence logo generator. A command line interface and the complete, open WebLogo source code are available for local installation and customization.
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Interpretation of deep learning in genomics and epigenomics
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Identification of Arx transcriptional targets in the developing basal forebrain
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Structural basis for retroviral integration into nucleosomes
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Metadata
- Authors
- Crooks, G. E., Hon, G., Chandonia, J.-M., & Brenner, S. E.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2004-06
- Volume
- 14
- Issue
- 6
- Pages
- 1188-1190
- ISSN
- 1088-9051 (ISSN-L)
- OpenAlex
- W2158266834
- Cited by
- 12,386
- References
- 0
- Type
- posted content
- 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 ›
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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.