Author

Elena J. Forchielli

Boston University

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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Genomics· 1 Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:metagenomics· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1 Organism:human· 1

Frequent Co-Authors

Daniel SegrèiD· 2 shared Konrad HerbstiD· 2 shared Carolina Alejandra Martinez Gutierrez· 1 shared Clarissa Stephanie SantosoiD· 1 shared Daniel SheriD· 1 shared Franziska KratzliD· 1 shared Hans‐Peter GrossartiD· 1 shared Helen Scott· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersMicrobiology

Daniel SegrèORCID

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Author profile →

3 papers

Recent·Most cited

Biological insights and methodological challenges learned from working with a diverse heterotrophic marine bacterial library

Waseem Bashir Valiya Kalladi, Melisa L. Osborne, Helen Scott, Franziska Kratzl, Carolina Alejandra Martinez Gutierrez, Elena J. Forchielli, Natasha Gurevich, Joseline Velasquez-Reyes, Krupa Sampat, Luca Zoccarato, Konrad Herbst, Osnat Weissberg, Hans‐Peter Grossart, Daniel Segrè, Daniel Sher

The paper establishes and characterizes a marine bacterial library, identifying genetic variations, growth patterns, and methodological challenges in strain maintenance and analysis.

bioRxiv · Nov 25, 2025 · PreprintMicrobiology

Prediction of representative phenotypes using Multi-Attribute Subset Selection

Konrad Herbst, Taiyao Wang, Elena J. Forchielli, Meghan Thommes, Ioannis Ch. Paschalidis, Daniel Segrè

This paper introduces MASS, an algorithm for selecting representative phenotypes from complex datasets, applied to microbial data to identify predictive environmental conditions.

bioRxiv · Jun 20, 2022 · PreprintSystems Biology

Discovering human transcription factor interactions with genetic variants, novel DNA motifs, and repetitive elements using enhanced yeast one-hybrid assays

Shaleen Shrestha, Jared Allan Sewell, Clarissa Stephanie Santoso, Elena J. Forchielli, Sebastian Carrasco Pro, Melissa Martinez, Juan I. Fuxman Bass

The paper develops enhanced yeast one-hybrid assays to study TF binding to repetitive elements, variants, and novel motifs, identifying 75 TFs interacting with Alu elements and changes in TF binding associated with cancer-related mutations.

Genome Research · Sep 1, 2019Peer-reviewedGenomics