ArticleNucleic acids research2014
GeneProf data: a resource of curated, integrated and reusable high-throughput genomics experiments.
Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Productive visualization of high-throughput sequencing data using the SeqCode open portable platform.Scientific reports · 2021Article
- Crunch: integrated processing and modeling of ChIP-seq data in terms of regulatory motifs.Genome research · 2019Article
- Esrrb extinction triggers dismantling of naïve pluripotency and marks commitment to differentiation.The EMBO journal · 2018Article
- EpiDenovo: a platform for linking regulatory de novo mutations to developmental epigenetics and diseases.Nucleic acids research · 2018Article
- MGA repository: a curated data resource for ChIP-seq and other genome annotated data.Nucleic acids research · 2018Article
- Two factor-based reprogramming of rodent and human fibroblasts into Schwann cells.Nature communications · 2017Article
- GTRD: a database of transcription factor binding sites identified by ChIP-seq experiments.Nucleic acids research · 2017Article
- The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data.BMC genomics · 2016Article
- miR-34a Silences c-SRC to Attenuate Tumor Growth in Triple-Negative Breast Cancer.Cancer research · 2016Article
- The Tomato MIXTA-Like Transcription Factor Coordinates Fruit Epidermis Conical Cell Development and Cuticular Lipid Biosynthesis and Assembly.Plant physiology · 2015Article
- Understanding gene regulatory mechanisms by integrating ChIP-seq and RNA-seq data: statistical solutions to biological problems.Frontiers in cell and developmental biology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
GeneProf Data (http://www.geneprof.org) is an open web resource for analysed functional genomics experiments. We have built up a large collection of completely processed RNA-seq and ChIP-seq studies by carefully and transparently reanalysing and annotating high-profile public data sets. GeneProf makes these data instantly accessible in an easily interpretable, searchable and reusable manner and thus opens up the path to the advantages and insights gained from genome-scale experiments to a broader scientific audience. Moreover, GeneProf supports programmatic access to these data via web services to further facilitate the reuse of experimental data across tools and laboratories.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.