Evidence map›Paper›PMID 25350881›Full record

ArticleBMC bioinformatics2014

Leveraging the new with the old: providing a framework for the integration of historic microarray studies with next generation sequencing.

Michael A Bauer, Shweta S Chavan, Erich A Peterson, Christoph J Heuck, Donald J Johann

Abstract read
In one paragraph

Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Michael A Bauer
Shweta S Chavan
Erich A Peterson
Christoph J Heuck
Donald J Johann

Funding

REGULATION OF MDRL GENE EXPRESSION IN LIVER AND UTERUSR01CA055813 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI KUO, MACUS T · 1992 to 1995
–
NCI NIH HHS CA 55813
6 · The paper itself

Abstract

Next Generation Sequencing (NGS) methods are rapidly providing remarkable advances in our ability to study the molecular profiles of human cancers. However, the scientific discovery offered by NGS also includes challenges concerning the interpretation of large and non-trivial experimental results. This task is potentially further complicated when a multitude of molecular profiling modalities are available, with the goal of a more integrative and comprehensive analysis of the cancer biology.

Indexed as

Oligonucleotide Array Sequence AnalysisGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansNeoplasmsProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras ProteinsSequence Analysis, DNASequence Analysis, RNASoftwareKRAS protein, humanProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)ras Proteins

Identifiers

PMID25350881
PMCPMC4251047

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.