Evidence map›Paper›PMID 17963514›Full record

ArticleBMC bioinformatics2007

How accurately is ncRNA aligned within whole-genome multiple alignments?

Adrienne X Wang, Walter L Ruzzo, Martin Tompa

Abstract read
In one paragraph

Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Split-inducing indels in phylogenomic analysis.Algorithms for molecular biology : AMB · 2018
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

3 authors.

Adrienne X WangDepartment of Computer Science and Engineering, University of Washington, Box 352350, Seattle, WA 98195, USA. axwang@cs.washington.edu
Walter L Ruzzo
Martin Tompa

Funding

INTERDISCIPLINARY TRAINING IN GENOMIC SCIENCEST32HG000035 · NHGRI · UNIVERSITY OF WASHINGTON · PI Bruce Colston Trapnell · 1995 to 2026
$24.2M
New Methods for High-Resolution Comparative ModelingP20GM076222 · NIGMS · RESEARCH INST OF FOX CHASE CAN CTR · PI DUNBRACK, ROLAND L · 2006 to 2009
$3.3M
Discovering Motifs From Orthologous SequencesR01HG002602 · NHGRI · UNIVERSITY OF WASHINGTON · PI TOMPA, MARTIN · 2002 to 2004
$981k
NHGRI NIH HHS R01 HG002602NHGRI NIH HHS R01 HG02602NHGRI NIH HHS T32 HG000035NHGRI NIH HHS T32 HG00035NIGMS NIH HHS P20 GM076222
6 · The paper itself

Abstract

backgroundMultiple alignment of homologous DNA sequences is of great interest to biologists since it provides a window into evolutionary processes. At present, the accuracy of whole-genome multiple alignments, particularly in noncoding regions, has not been thoroughly evaluated.

resultsWe evaluate the alignment accuracy of certain noncoding regions using noncoding RNA alignments from Rfam as a reference. We inspect the MULTIZ 17-vertebrate alignment from the UCSC Genome Browser for all the human sequences in the Rfam seed alignments. In particular, we find 638 instances of chimeric and partial alignments to human noncoding RNA elements, of which at least 225 can be improved by straightforward means. As a byproduct of our procedure, we predict many novel instances of known ncRNA families that are suggested by the alignment.

conclusionMULTIZ does a fairly accurate job of aligning these genomes in these difficult regions. However, our experiments indicate that better alignments exist in some regions.

Indexed as

Decision Support TechniquesSoftware ValidationBase SequenceComputer SimulationDatabases, Nucleic AcidEvaluation Studies as TopicGenomicsHumansMultigene FamilyQuality ControlRNA, UntranslatedSequence AlignmentSequence Analysis, RNARNA, Untranslated

Identifiers

PMID17963514
PMCPMC2206062

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.