Evidence map›Paper›PMID 17526514›Full record

ArticleNucleic acids research2007

ProtSweep, 2Dsweep and DomainSweep: protein analysis suite at DKFZ.

C del Val, P Ernst, M Falkenhahn, C Fladerer, K H Glatting, S Suhai, A Hotz-Wagenblatt

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

7 authors.

C del ValDKFZ, German Cancer Research Center, Division of Molecular Biophysics, Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany. c.delval@dkfz.de
P Ernst
M Falkenhahn
C Fladerer
K H Glatting
S Suhai
A Hotz-Wagenblatt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wealth of transcript information that has been made publicly available in recent years has led to large pools of individual web sites offering access to bioinformatics software. However, finding out which services exist, what they can or cannot do, how to use them and how to feed results from one service to the next one in the right format can be very time and resource consuming, especially for non-experts. Automating this task, we present a suite of protein annotation pipelines (tasks) developed at the German Cancer Research Centre (DKFZ) oriented to protein annotation by homology (ProtSweep), by domain analysis (DomainSweep), and by secondary structure elements (2Dsweep). The aim of these tasks is to perform an exhaustive structural and functional analysis employing a wide variety of methods in combination with the most updated public databases. The three servers are available for academic users at the HUSAR open server http://genius.embnet.dkfz-heidelberg.de/menu/biounit/open-husar/

Indexed as

Protein Structure, TertiarySequence Analysis, ProteinSoftwareAlgorithmsComputational BiologyComputer GraphicsDatabases, ProteinInternetProteinsSequence AlignmentSystems IntegrationUser-Computer InterfaceProteins

Identifiers

PMID17526514
PMCPMC1933246

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.