Author

Brad Solomon

Carnegie Mellon UniversityORCID 0000-0002-4293-1677Unclaimed ORCID profile · follow to get notified of new preprints

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Brad Solomon1 paper

Biology Disciplines

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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:database / resource· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1

Frequent Co-Authors

Ben LangmeadiD· 2 shared Abhinav NelloreiD· 1 shared Andrew E. JaffeiD· 1 shared Carl KingsfordiD· 1 shared Christopher WilksiD· 1 shared David ZhangiD· 1 shared Eddie L. ImadaiD· 1 shared Feng Yong Chen· 1 shared

Activity by Year

2018-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenomics

Ben LangmeadORCID

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3 papers

Recent·Most cited

recount3: summaries and queries for large-scale RNA-seq expression and splicing

Christopher Wilks, Shijie Zheng, Feng Yong Chen, Rone Charles, Brad Solomon, Jonathan P. Ling, Eddie L. Imada, David Zhang, Lance Joseph, Jeffrey T. Leek, Andrew E. Jaffe, Abhinav Nellore, Leonardo Collado‐Torres, Kasper D. Hansen, Ben Langmead

recount3 provides uniformly processed RNA-seq data and tools for querying and analyzing large-scale human and mouse expression and splicing data.

Genome biology · Nov 29, 2021Peer-reviewedGenomics

Reducing reference bias using multiple population reference genomes

Nae-Chyun Chen, Brad Solomon, Taher Mun, Sheila Iyer, Ben Langmead

The paper introduces a reference flow alignment method that reduces reference bias using multiple population reference genomes, achieving similar accuracy to graph aligners with lower memory usage and faster speed.

Genome biology · Jan 4, 2021Peer-reviewedBioinformatics

Improved Search of Large Transcriptomic Sequencing Databases Using Split Sequence Bloom Trees

Brad Solomon, Carl Kingsford

The paper introduces an improved indexing method, Split Sequence Bloom Tree (SSBT), for efficiently searching large RNA-seq databases and demonstrates its performance on breast, blood, and brain tissue data.

Journal of Computational Biology · Mar 29, 2018Peer-reviewedGenomics