Author

André L. Martins

University of Connecticut

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Michael J. GuertiniD· 2 shared Jacob B. Wolpe· 1 shared Thomas G. ScottiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 2 mutual co-author links

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2 shared papersBioinformatics

Michael J. GuertinORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 14, 2022

Processing and evaluating the quality of genome-wide nascent transcription profiling libraries

Thomas G. Scott, André L. Martins, Michael J. Guertin

The paper deconstructs a PRO-seq data processing pipeline, evaluates quality control metrics, and provides a framework for adapting to different protocols.

6 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 8, 2022

Correction of transposase sequence bias in ATAC-seq data with rule ensemble modeling

Jacob B. Wolpe, André L. Martins, Michael J. Guertin

The paper develops a rule ensemble machine learning method to correct Tn5 transposase sequence bias in ATAC-seq data, improving the interpretation of chromatin accessibility.

2 citations

ATAC-seqmachine learning (classical)

𝕏 PostBluesky