Author

Emily M. Blaum

Broad InstituteORCID 0000-0002-8656-8216Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Assay:long-read sequencing· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Genevieve Marie BolandiD· 2 shared Moshe Sade-FeldmaniD· 2 shared Nir HacoheniD· 2 shared Stacey GabrieliD· 2 shared Allyson Day· 1 shared Anat O Stemmer-RachamimoviD· 1 shared Anna L. K. GonyeiD· 1 shared Anthony PhilippakisiD· 1 shared

Activity by Year

2022-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersGenetics

Genevieve Marie BolandORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Sensory prediction error drives subconscious motor learning outside of the laboratory

Scott T. Albert, Emily M. Blaum, Daniel H. Blustein

The paper shows that sensory prediction errors drive implicit motor learning in complex whole-body tasks, replicating lab findings in a real-world ball-rolling task.

Journal of Neurophysiology · Jul 12, 2023Peer-reviewedNeuroscience

High-throughput RNA isoform sequencing using programmable cDNA concatenation

Aziz M. Al’Khafaji, Jonathan T. Smith, Kiran V. Garimella, Mehrtash Babadi, Victoria Popic, Moshe Sade-Feldman, Michael Gatzen, Siranush Sarkizova, Marc A. Schwartz, Emily M. Blaum, Allyson Day, Maura Costello, Tera Bowers, Stacey Gabriel, Eric Banks, , Nir Hacohen

This paper introduces MAS-ISO-seq, a method to boost throughput of long-read RNA sequencing for isoform discovery, showing improved detection of differentially spliced genes and cell clustering in T cells.

Nature Biotechnology · Jun 8, 2023Peer-reviewedGenetics

Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma

Samuel S. Freeman, Moshe Sade-Feldman, Jaegil Kim, Chip Stewart, Anna L. K. Gonye, Arvind Ravi, Monica B. Arniella, Irena Gushterova, Thomas James LaSalle, Emily M. Blaum, Keren Yizhak, Dennie Tompers Frederick, Tatyana Y. Sharova, Ignaty Leshchiner, Liudmila Elagina, , Nir Hacohen

The paper develops DNA- and RNA-based models combining immune and tumor features to predict outcomes of checkpoint inhibition in melanoma.

Cell Reports Medicine · Feb 1, 2022Peer-reviewedGenomics