Evidence map›Paper›PMID 14681490›Full record

ArticleNucleic acids research2004

ORFDB: an information resource linking scientific content to a high-quality Open Reading Frame (ORF) collection.

Feng Liang, Udayakumar Matrubutham, Babak Parvizi, Jessica Yen, Daniel Duan, Jyotika Mirchandani, Sandra Hashima, Uyen Nguyen, Eric Ubil, Jake Loewenheim and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

16 authors.

Feng LiangResearch and Development, Invitrogen Corporation, Carlsbad, CA 92008, USA.
Udayakumar Matrubutham
Babak Parvizi
Jessica Yen
Daniel Duan
Jyotika Mirchandani
Sandra Hashima
Uyen Nguyen
Eric Ubil
Jake Loewenheim
Xin Yu
Sara Sipes
Wendy Williams
Ling Wang
Robert Bennett
John Carrino

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ORFDB (http://orf.invitrogen.com/) represents an ongoing effort at Invitrogen Corporation to integrate relevant scientific data with an evolving collection of human and mouse Open Reading Frame (ORF) clones (Ultimate ORF Clones). The ORFDB serves as a central data warehouse enabling researchers to search the ORF collection through its web portal ORFBrowser, allowing researchers to find the Ultimate ORF clones by blast, keyword, GenBank accession, gene symbol, clone ID, Unigene ID, LocusLink ID or through functional relationships by browsing the collection via the Gene Ontology (GO) Browser. As of October 2003, the ORFDB contains 6200 human and 2870 mouse Ultimate ORF clones. All Ultimate ORF clones have been fully sequenced with high quality, and are matched to public reference protein sequences. In addition, the cloned ORFs have been extensively annotated across six categories: Gene, ORF, Clone Format, Protein, SNP and Genomic links, with the information assembled in a format termed the ORFCard. The ORFCard represents an information repository that documents the sequence quality, alignment with respect to public protein sequences, and the latest publicly available information associated with each human and mouse gene represented in the collection.

Indexed as

Databases, GeneticAnimalsCloning, MolecularComputational BiologyDNA, ComplementaryGene LibraryGenomicsHumansInformation Storage and RetrievalInternetMiceOpen Reading FramesPolymorphism, Single NucleotideProteinsProteomicsQuality ControlDNA, ComplementaryProteins

Identifiers

PMID14681490
PMCPMC314203
OpenAlexW2122183353

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.