ReviewFEBS letters2009
Systems biology from a yeast omics perspective.
Review in FEBS letters, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- Yeast as a Model for Human Disease.International journal of molecular sciences · 2026Review
- Life beyond 6000 genes: from sequence to synthesis in a post-genomics era.FEMS yeast research · 2026Review
- scGRN: a comprehensive single-cell gene regulatory network platform of human and mouse.Nucleic acids research · 2024Article
- Gene regulatory network inference in the era of single-cell multi-omics.Nature reviews. Genetics · 2023Review
- Active pharmaceutical ingredient (API) chemicals: a critical review of current biotechnological approaches.Bioengineered · 2022Review
- Yeast epigenetics: the inheritance of histone modification states.Bioscience reports · 2019Review
- Yeast Systems Biology: The Continuing Challenge of Eukaryotic Complexity.Methods in molecular biology (Clifton, N.J.) · 2019Article
- Protein Co-Aggregation Related to Amyloids: Methods of Investigation, Diversity, and Classification.International journal of molecular sciences · 2018Review
- Balanced trafficking between the ER and the Golgi apparatus increases protein secretion in yeast.AMB Express · 2018Article
- Mutant power: using mutant allele collections for yeast functional genomics.Briefings in functional genomics · 2016Review
- Multi-capillary column-ion mobility spectrometry of volatile metabolites emitted by Saccharomyces cerevisiae.Metabolites · 2014Article
- SLDR: a computational technique to identify novel genetic regulatory relationships.BMC bioinformatics · 2014Article
- Physical and genetic-interaction density reveals functional organization and informs significance cutoffs in genome-wide screens.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Metabolic engineering of Saccharomyces cerevisiae: a key cell factory platform for future biorefineries.Cellular and molecular life sciences : CMLS · 2012Review
- Systematic identification of gene annotation errors in the widely used yeast mutation collections.Nature methods · 2012Article
- ScreenTroll: a searchable database to compare genome-wide yeast screens.Database : the journal of biological databases and curation · 2012Article
- The future of model organisms in human disease research.Nature reviews. Genetics · 2011Review
- Article
- Genomic insights into the different layers of gene regulation in yeast.Genetics research international · 2011Article
- The developmental dynamics of the maize leaf transcriptome.Nature genetics · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Systems biology represents a paradigm shift from the study of individual genes, proteins or other components to that of the analysis of entire pathways, cellular, developmental, or organismal processes. Large scale studies, primarily initiated in Saccharomyces cerevisiae, have allowed the identification and characterization of components on an unprecedented level. Large scale interaction, transcription factor binding and phosphorylation data have enabled the elucidation of global regulatory networks. These studies have helped provide an understanding of cellular pathways and processes at a global and systems level.
Indexed as
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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.