Author

S. Tripathi

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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Microbiology· 9 Biochemistry· 7 Cancer Biology· 7 Biophysics· 3 Immunology· 3 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 18 Organism:human· 17 Approach:statistical model· 13 Assay:proteomics· 9 Research Focus:cell signaling & trafficking· 8 Research Focus:host-pathogen & immune response· 8 Organism:mouse· 7 Assay:bulk RNA-seq· 6

Frequent Co-Authors

H. Levine· 7 shared O. Khatun· 6 shared C. L. Partch· 5 shared R. Narayan· 5 shared M. K. Jolly· 4 shared D. M. Virshup· 3 shared R. Narasimamurthy· 3 shared A. Biji· 2 shared

Activity by Year

2017-2026 · peak 8/yr

Co-Author Collaboration Network

10 top collaborators · 10 mutual co-author links

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7 shared papersCancer Biology

H. Levine

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Author profile →

33 papers

Recent·Most cited

PaleontologybioRxivAug 9, 2018

Modern botanical analogue of endangered Yak (Bos mutus) dung from India: Plausible linkage with living and extinct megaherbivores

S. Basumatary, H. Singh, H. G. McDonald…·A. K. Pokharia

The paper analyzes micro and macrobotanical remains in Yak dung to infer diet, habitat, and ecological relationships with extant and extinct megaherbivores.

DOI 10.1371/journal.pone.0202723

metagenomicsexperimental assay

Evolutionary BiologybioRxivNov 25, 2017

The standard genetic code facilitates exploration of the space of functional nucleotide sequences

S. Tripathi, M. Deem

The paper shows the standard genetic code is optimal for exploring functional protein sequence space at intermediate time scales compared to random codes.

DOI 10.1007/s00239-018-9852-x

E. coliprotein sequence

Cancer BiologybioRxivOct 16, 2017

Analysis of hierarchical organization in gene expression networks reveals underlying principles of collective tumor cell dissemination and metastatic aggressiveness of inflammatory breast cancer

S. Tripathi, M. K. Jolly, W. A. Woodward…·M. W. Deem

This study uses hierarchical organization metrics to show that gene expression networks in IBC are more organized and linked to worse outcomes and epithelial traits in metastatic breast cancer.

DOI 10.3389/fonc.2018.00244

humanbulk RNA-seq