Author

James Watkins

MIT Lincoln Laboratory

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· 3

Signature Assays, Organisms & Methods

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Research Focus:deconvolution· 3 Assay:DNA methylation· 3 Approach:statistical model· 2 Approach:experimental assay· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Darrell O. RickeiD· 3 shared Eric D. Schwoebel· 3 shared Philip Fremont‐SmithiD· 3 shared Tara BoettcheriD· 3 shared Edward C. WackiD· 1 shared Joe Isaacson· 1 shared Martha S. Petrovick· 1 shared Sara H. StankiewicziD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 25 mutual co-author links

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3 shared papersBioinformatics

Darrell O. RickeORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Estimating Individual Contributions to Complex DNA SNP Mixtures

Darrell O. Ricke, Philip Fremont‐Smith, James Watkins, Sara H. Stankiewicz, Tara Boettcher, Eric D. Schwoebel

The paper introduces three methods to estimate individual DNA contributions in forensic SNP mixtures using HTS/MPS data.

Journal of Forensic Sciences · Feb 22, 2019Peer-reviewedBioinformatics

TranslucentID: Detecting Individuals with High Confidence in Saturated DNA SNP Mixtures

Darrell O. Ricke, James Watkins, Philip Fremont‐Smith, Tara Boettcher, Eric D. Schwoebel

TranslucentID identifies contributors in saturated DNA SNP mixtures by desaturating them using minor allele ratios, improving detection confidence in forensic analysis.

bioRxiv · Aug 13, 2018 · PreprintBioinformatics

The Plateau Method for Forensic DNA SNP Mixture Deconvolution

Darrell O. Ricke, Joe Isaacson, James Watkins, Philip Fremont‐Smith, Tara Boettcher, Martha S. Petrovick, Edward C. Wack, Eric D. Schwoebel

The paper introduces the Plateau method to deconvolve DNA mixtures into individual sub-profiles using SNP data without reference profiles, detecting contributors as low as 1/200 in concentration.

bioRxiv · Nov 27, 2017 · PreprintBioinformatics