Evidence map›Paper›PMID 21190573›Full record

ArticleBMC bioinformatics2010

BiologicalNetworks 2.0--an integrative view of genome biology data.

Sergey Kozhenkov, Yulia Dubinina, Mayya Sedova, Amarnath Gupta, Julia Ponomarenko, Michael Baitaluk

Abstract read
In one paragraph

Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Systems-level analysis of innate immunity.Annual review of immunology · 2014
    Review
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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

6 authors.

Sergey KozhenkovSan Diego Supercomputer Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Yulia Dubinina
Mayya Sedova
Amarnath Gupta
Julia Ponomarenko
Michael Baitaluk

Funding

BiologicalNetworks: Integrated Environment for Systems BiologyR01GM084881 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAITALUK, MICHAEL · 2008 to 2011
$1.7M
Transcription Factor-DNA Interactions: Structural Classification and PredictionR01GM085325 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PONOMARENKO, JULIA VLADIMIROVNA · 2008 to 2011
$1.1M
NIGMS NIH HHS R01 GM084881NIGMS NIH HHS R01GM084881NIGMS NIH HHS R01 GM085325NIGMS NIH HHS R01GM085325
6 · The paper itself

Abstract

backgroundA significant problem in the study of mechanisms of an organism's development is the elucidation of interrelated factors which are making an impact on the different levels of the organism, such as genes, biological molecules, cells, and cell systems. Numerous sources of heterogeneous data which exist for these subsystems are still not integrated sufficiently enough to give researchers a straightforward opportunity to analyze them together in the same frame of study. Systematic application of data integration methods is also hampered by a multitude of such factors as the orthogonal nature of the integrated data and naming problems.

resultsHere we report on a new version of BiologicalNetworks, a research environment for the integral visualization and analysis of heterogeneous biological data. BiologicalNetworks can be queried for properties of thousands of different types of biological entities (genes/proteins, promoters, COGs, pathways, binding sites, and other) and their relations (interactions, co-expression, co-citations, and other). The system includes the build-pathways infrastructure for molecular interactions/relations and module discovery in high-throughput experiments. Also implemented in BiologicalNetworks are the Integrated Genome Viewer and Comparative Genomics Browser applications, which allow for the search and analysis of gene regulatory regions and their conservation in multiple species in conjunction with molecular pathways/networks, experimental data and functional annotations.

conclusionsThe new release of BiologicalNetworks together with its back-end database introduces extensive functionality for a more efficient integrated multi-level analysis of microarray, sequence, regulatory, and other data. BiologicalNetworks is freely available at http://www.biologicalnetworks.org.

Indexed as

Database Management SystemsDatabases, GeneticComputational BiologyGenomeGenomicsInternetMolecular Sequence AnnotationOligonucleotide Array Sequence AnalysisSequence Analysis, DNA

Identifiers

PMID21190573
PMCPMC3019228

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.