Author

Benjamin Coleman

Rice UniversityORCID 0000-0002-2010-796XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:CUT&Tag· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:metagenomics· 1

Frequent Co-Authors

Anshumali ShrivastavaiD· 1 shared Benito GeordieiD· 1 shared Cyril FournieriD· 1 shared Eduardo EyrasiD· 1 shared Emma Ricart Altimiras· 1 shared Iván DotúiD· 1 shared Jeffrey H. ChuangiD· 1 shared Li Chou· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Anshumali ShrivastavaORCID

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2 papers

Recent·Most cited

Diversified RACE Sampling on Data Streams Applied to Metagenomic Sequence Analysis

Benjamin Coleman, Benito Geordie, Li Chou, Ryan A. Leo Elworth, Todd J. Treangen, Anshumali Shrivastava

This paper introduces RACE, a fast and memory-efficient algorithm for diversified sampling from data streams, applied to metagenomic sequence analysis to improve diversity metrics.

bioRxiv · Nov 25, 2019 · PreprintBioinformatics

SARNAclust: Semi-Automatic Detection Of RNA Protein Binding Motifs From Immunoprecipitation Data

Iván Dotú, Scott I. Adamson, Benjamin Coleman, Cyril Fournier, Emma Ricart Altimiras, Eduardo Eyras, Jeffrey H. Chuang

SARNAclust identifies RNA motifs from immunoprecipitation data by combining structure/sequence analysis, revealing known and novel motifs including a new ILF3 motif similar to hnRNPC.

PLoS Computational Biology · Mar 29, 2018Peer-reviewedBioinformatics