Evidence map›Paper›PMID 18307801›Full record

ArticleBMC genomics2008

Rapid detection and curation of conserved DNA via enhanced-BLAT and EvoPrinterHD analysis.

Amarendra S Yavatkar, Yong Lin, Jermaine Ross, Yang Fann, Thomas Brody, Ward F Odenwald

Abstract read
In one paragraph

Article in BMC genomics, 2008. 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.

  1. Review
  2. Article
  3. Article
  4. Article
  5. G3 (Bethesda, Md.) · 2018
    Article
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  11. Low-affinity transcription factor binding sites shape morphogen responses and enhancer evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2013
    Article
  12. Article
  13. Article
  14. Use of a Drosophila genome-wide conserved sequence database to identify functionally related cis-regulatory enhancers.Developmental dynamics : an official publication of the American Association of Anatomists · 2012
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
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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

6 authors.

Amarendra S Yavatkar1Division of Intramural Research, Information Technology Program, NINDS, NIH, Bethesda, Maryland, USA. yavatka@ninds.nih.gov
Yong Lin
Jermaine Ross
Yang Fann
Thomas Brody
Ward F Odenwald

Funding

Analysis of Neural Precursor Cell cis-Regulatory EnhancersZIANS002820 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI ODENWALD, WARD F · 2010 to 2017
$5.3M
Gene Regulatory Networks Controlling CNS DevelopmentZ01NS002820 · NINDS · NEUROLOGICAL DISORDERS AND STROKE · PI ODENWALD, WARD F · 1990 to 2008
$2.5M
Analysis Of Gene Expression Regulatory Networks Controlling CNS DevelopmentZIHNS002820 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI ODENWALD, WARD F · 2009 to 2009
$1.2M
Intramural NIH HHS
6 · The paper itself

Abstract

backgroundMulti-genome comparative analysis has yielded important insights into the molecular details of gene regulation. We have developed EvoPrinter, a web-accessed genomics tool that provides a single uninterrupted view of conserved sequences as they appear in a species of interest. An EvoPrint reveals with near base-pair resolution those sequences that are essential for gene function.

resultsWe describe here EvoPrinterHD, a 2nd-generation comparative genomics tool that automatically generates from a single input sequence an enhanced view of sequence conservation between evolutionarily distant species. Currently available for 5 nematode, 3 mosquito, 12 Drosophila, 20 vertebrate, 17 Staphylococcus and 20 enteric bacteria genomes, EvoPrinterHD employs a modified BLAT algorithm [enhanced-BLAT (eBLAT)], which detects up to 75% more conserved bases than identified by the BLAT alignments used in the earlier EvoPrinter program. The new program also identifies conserved sequences within rearranged DNA, highlights repetitive DNA, and detects sequencing gaps. EvoPrinterHD currently holds over 112 billion bp of indexed genomes in memory and has the flexibility of selecting a subset of genomes for analysis. An EvoDifferences profile is also generated to portray conserved sequences that are uniquely lost in any one of the orthologs. Finally, EvoPrinterHD incorporates options that allow for (1) re-initiation of the analysis using a different genome's aligning region as the reference DNA to detect species-specific changes in less-conserved regions, (2) rapid extraction and curation of conserved sequences, and (3) for bacteria, identifies unique or uniquely shared sequences present in subsets of genomes.

conclusionEvoPrinterHD is a fast, high-resolution comparative genomics tool that automatically generates an uninterrupted species-centric view of sequence conservation and enables the discovery of conserved sequences within rearranged DNA. When combined with cis-Decoder, a program that discovers sequence elements shared among tissue specific enhancers, EvoPrinterHD facilitates the analysis of conserved sequences that are essential for coordinate gene regulation.

Indexed as

SoftwareAlgorithmsAnimalsComputational BiologyConserved SequenceDNAGene DuplicationGene RearrangementGenome, BacterialGenomicsHumansRepetitive Sequences, Nucleic AcidSequence AlignmentSequence Homology, Nucleic AcidSpecies SpecificityTime FactorsDNA

Identifiers

PMID18307801
PMCPMC2268679

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LicenceCC BY
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Registered trials

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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.