Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Sambhavi Animesh, Ph.D.

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Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Animesh S, Choudhary R, Wong BJH, Koh CTJ, Ng XY, Tay JKX, Chong WQ, Jian H, Chen L, Goh BC, Fullwood MJ. Profiling of 3D Genome Organization in Nasopharyngeal Cancer Needle Biopsy Patient Samples by a Modified Hi-C Approach. Front Genet. 2021; 12:673530. PMID: 34539729.
    Citations: 1     
  2. Cao F, Zhang Y, Cai Y, Animesh S, Zhang Y, Akincilar SC, Loh YP, Li X, Chng WJ, Tergaonkar V, Kwoh CK, Fullwood MJ. Chromatin interaction neural network (ChINN): a machine learning-based method for predicting chromatin interactions from DNA sequences. Genome Biol. 2021 08 16; 22(1):226. PMID: 34399797; PMCID: PMC8365954.
    Citations: 1     Fields:    Translation:HumansCells
  3. Animesh S, Singh YD. A Comprehensive Study on Aptasensors For Cancer Diagnosis. Curr Pharm Biotechnol. 2021; 22(8):1069-1084. PMID: 32957883.
    Citations:    Fields:    Translation:Humans
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.