Evidence map›Paper›PMID 11875039›Full record

ArticleGenome research2002

Cross-referencing eukaryotic genomes: TIGR Orthologous Gene Alignments (TOGA).

Yuandan Lee, Razvan Sultana, Geo Pertea, Jennifer Cho, Svetlana Karamycheva, Jennifer Tsai, Babak Parvizi, Foo Cheung, Valentin Antonescu, Joseph White and 3 more

Abstract readComparative Study
In one paragraph

Article in Genome research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

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  11. E(mu)-TCL1 mice represent a model for immunotherapeutic reversal of chronic lymphocytic leukemia-induced T-cell dysfunction.Proceedings of the National Academy of Sciences of the United States of America · 2009
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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

13 authors.

Yuandan LeeThe Institute for Genomic Research, Rockville, Maryland 20850, USA.
Razvan Sultana
Geo Pertea
Jennifer Cho
Svetlana Karamycheva
Jennifer Tsai
Babak Parvizi
Foo Cheung
Valentin Antonescu
Joseph White
Ingeborg Holt
Feng Liang
John Quackenbush

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comparative genomics promises to rapidly accelerate the identification and functional classification of biologically important human genes. We developed the TIGR Orthologous Gene Alignment (TOGA; <http://www.tigr.org/tdb/toga/toga.shtml>) database to provide a cross-reference between fully and partially sequenced eukaryotic transcribed sequences. Starting with the assembled expressed sequence tag (EST) and gene sequences that comprise the 28 TIGR Gene Indices, we used high-stringency pair-wise sequence searches and a reflexive, transitive closure process to associate sequence-specific best hits, generating 32,652 tentative ortholog groups (TOGs). This has allowed us to identify putative orthologs and paralogs for known genes, as well as those that exist only as uncharacterized ESTs and to provide links to additional information including genome sequence and mapping data. TOGA provides an important new resource for the analysis of gene function in eukaryotes. In addition, an analysis of the most widely represented sequences can begin to provide insight into eukaryotic biological processes.

Indexed as

Eukaryotic CellsAlgorithmsAnimalsCattleComputational BiologyConsensus SequenceDatabases, GeneticGenesGenome, HumanHumansMicePhylogenyRatsSequence AlignmentSequence Homology, Nucleic Acid

Identifiers

PMID11875039
PMCPMC155294

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.