Evidence map›Paper›PMID 14718377›Full record

ArticleGenome research2004

Analysis of multiple genomic sequence alignments: a web resource, online tools, and lessons learned from analysis of mammalian SCL loci.

Michael A Chapman, Ian J Donaldson, James Gilbert, Darren Grafham, Jane Rogers, Anthony R Green, Berthold Göttgens

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Genome research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed, 54 citations in OpenAlex.

  1. Bi-alignments with affine gaps costs.Algorithms for molecular biology : AMB · 2022
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  15. The SCL transcriptional network and BMP signaling pathway interact to regulate RUNX1 activity.Proceedings of the National Academy of Sciences of the United States of America · 2007
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  20. Subtree power analysis and species selection for comparative genomics.Proceedings of the National Academy of Sciences of the United States of America · 2005
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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

7 authors at 2 institutions in 2 countries.

Michael A ChapmanCambridge Institute for Medical Research, Cambridge, CB2 2XY, UK.
Ian J Donaldson
James Gilbert
Darren Grafham
Jane Rogers
Anthony R Green
Berthold Göttgens
Wellcome Sanger Institute · GBInstitute for Medical Research · MY

Funding

Wellcome Trust
6 · The paper itself

Abstract

Comparative analysis of genomic sequences is becoming a standard technique for studying gene regulation. However, only a limited number of tools are currently available for the analysis of multiple genomic sequences. An extensive data set for the testing and training of such tools is provided by the SCL gene locus. Here we have expanded the data set to eight vertebrate species by sequencing the dog SCL locus and by annotating the dog and rat SCL loci. To provide a resource for the bioinformatics community, all SCL sequences and functional annotations, comprising a collation of the extensive experimental evidence pertaining to SCL regulation, have been made available via a Web server. A Web interface to new tools specifically designed for the display and analysis of multiple sequence alignments was also implemented. The unique SCL data set and new sequence comparison tools allowed us to perform a rigorous examination of the true benefits of multiple sequence comparisons. We demonstrate that multiple sequence alignments are, overall, superior to pairwise alignments for identification of mammalian regulatory regions. In the search for individual transcription factor binding sites, multiple alignments markedly increase the signal-to-noise ratio compared to pairwise alignments.

Indexed as

GenomeGenome, HumanAnimalsDatabases, GeneticDogsGenes, NeoplasmGenetic MarkersGenomicsHumansInternetLeukemiaLyasesMiceMolecular Sequence DataOnline SystemsRatsGenetic MarkersLyasesselenocysteine lyase

Identifiers

PMID14718377
PMCPMC327107
OpenAlexW2104729238

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.