Evidence map›Paper›PMID 15060011›Full record

ArticleGenome research2004

Automated whole-genome multiple alignment of rat, mouse, and human.

Michael Brudno, Alexander Poliakov, Asaf Salamov, Gregory M Cooper, Arend Sidow, Edward M Rubin, Victor Solovyev, Serafim Batzoglou, Inna Dubchak

Abstract readComparative StudyEvaluation 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 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  5. Whole-genome sequence of the Tibetan frog Nanorana parkeri and the comparative evolution of tetrapod genomes.Proceedings of the National Academy of Sciences of the United States of America · 2015
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  11. Long identical multispecies elements in plant and animal genomes.Proceedings of the National Academy of Sciences of the United States of America · 2012
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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

9 authors.

Michael BrudnoDepartment of Computer Science, Stanford University, Stanford, California 94305, USA.
Alexander Poliakov
Asaf Salamov
Gregory M Cooper
Arend Sidow
Edward M Rubin
Victor Solovyev
Serafim Batzoglou
Inna Dubchak

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have built a whole-genome multiple alignment of the three currently available mammalian genomes using a fully automated pipeline that combines the local/global approach of the Berkeley Genome Pipeline and the LAGAN program. The strategy is based on progressive alignment and consists of two main steps: (1) alignment of the mouse and rat genomes, and (2) alignment of human to either the mouse-rat alignments from step 1, or the remaining unaligned mouse and rat sequences. The resulting alignments demonstrate high sensitivity, with 87% of all human gene-coding areas aligned in both mouse and rat. The specificity is also high: <7% of the rat contigs are aligned to multiple places in human, and 97% of all alignments with human sequence >100 kb agree with a three-way synteny map built independently, using predicted exons in the three genomes. At the nucleotide level <1% of the rat nucleotides are mapped to multiple places in the human sequence in the alignment, and 96.5% of human nucleotides within all alignments agree with the synteny map. The alignments are publicly available online, with visualization through the novel Multi-VISTA browser that we also present.

Indexed as

AutomationGenomeGenome, HumanAnimalsComputational BiologyExonsHumansMicePhysical Chromosome MappingRatsSequence AlignmentSoftwareSynteny

Identifiers

PMID15060011
PMCPMC383314

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.