Author

Song Guo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:chromatin & epigenetic regulation· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Organism:chicken / avian· 1 Organism:mouse· 1

Frequent Co-Authors

Philipp KhaitovichiD· 3 shared Haiyang HuiD· 2 shared Zheng Yan· 2 shared Babür ErdemiD· 1 shared Bin Zhang· 1 shared Carlos S Moreno· 1 shared David A Hughes· 1 shared Ekin SaglicaniD· 1 shared

Activity by Year

2014-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Philipp KhaitovichORCID

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Author profile →

3 papers

Recent·Most cited

An alternative class of targets for microRNAs containing CG dinucleotide

Zheng Yan, Bin Zhang, Haiyang Hu, Gangcai Xie, Song Guo, Philipp Khaitovich, Yi-Ping Phoebe Chen

The paper identifies a class of microRNA targets involving bulge structures and shows they can be recognized by miRNAs, improving computational target prediction when combined with conservation.

bioRxiv · Feb 28, 2016 · PreprintBioinformatics

Evaluating intra- and inter-individual variation in the human placental transcriptome

David A Hughes, Martin Kircher, Zhisong He, Song Guo, Genevieve L Fairbrother, Carlos S Moreno, Philipp Khaitovich, Mark Stoneking

The paper evaluates gene expression variation in the human placenta, finding 33.2% within-individual, 58.9% among-individual, and 7.8% among-human-group variation, with selection pressures influencing most genes.

bioRxiv · Dec 8, 2014Genomics

Convergent evolution of primate testis transcriptomes reflects mating strategy

Etka Yapar, Ekin Saglican, Handan Melike Dönertaş, Ezgi Özkurt, Zheng Yan, Haiyang Hu, Song Guo, Babür Erdem, Rori V. Rohlfs, Philipp Khaitovich, Mehmet Somel

The paper analyzes testis transcriptomes across primates to show convergent evolution linked to mating strategies, finding both tissue composition shifts and cell-autonomous changes.

bioRxiv · Oct 21, 2014 · PreprintEvolutionary Biology