Harvard Catalyst Profiles

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Michael S. Lawrence, Ph.D.

Concepts

This page shows the publications Michael Lawrence has written about Databases, Genetic.
Connection Strength

1.113
  1. Software for computing and annotating genomic ranges. PLoS Comput Biol. 2013; 9(8):e1003118.
    View in: PubMed
    Score: 0.319
  2. ggbio: an R package for extending the grammar of graphics for genomic data. Genome Biol. 2012 Aug 31; 13(8):R77.
    View in: PubMed
    Score: 0.299
  3. GUIDEseq: a bioconductor package to analyze GUIDE-Seq datasets for CRISPR-Cas nucleases. BMC Genomics. 2017 05 15; 18(1):379.
    View in: PubMed
    Score: 0.103
  4. Oncotator: cancer variant annotation tool. Hum Mutat. 2015 Apr; 36(4):E2423-9.
    View in: PubMed
    Score: 0.089
  5. rtracklayer: an R package for interfacing with genome browsers. Bioinformatics. 2009 Jul 15; 25(14):1841-2.
    View in: PubMed
    Score: 0.060
  6. Pathway and network analysis of more than 2500 whole cancer genomes. Nat Commun. 2020 02 05; 11(1):729.
    View in: PubMed
    Score: 0.031
  7. Analyses of non-coding somatic drivers in 2,658 cancer whole genomes. Nature. 2020 02; 578(7793):102-111.
    View in: PubMed
    Score: 0.031
  8. Distinct mutational signatures characterize concurrent loss of polymerase proofreading and mismatch repair. Nat Commun. 2018 05 01; 9(1):1746.
    View in: PubMed
    Score: 0.028
  9. Comprehensive Characterization of Cancer Driver Genes and Mutations. Cell. 2018 04 05; 173(2):371-385.e18.
    View in: PubMed
    Score: 0.028
  10. GMAP and GSNAP for Genomic Sequence Alignment: Enhancements to Speed, Accuracy, and Functionality. Methods Mol Biol. 2016; 1418:283-334.
    View in: PubMed
    Score: 0.024
  11. Comprehensive analysis of cancer-associated somatic mutations in class I HLA genes. Nat Biotechnol. 2015 Nov; 33(11):1152-8.
    View in: PubMed
    Score: 0.023
  12. Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes. Nat Genet. 2015 Feb; 47(2):106-14.
    View in: PubMed
    Score: 0.022
  13. Assessing the clinical utility of cancer genomic and proteomic data across tumor types. Nat Biotechnol. 2014 Jul; 32(7):644-52.
    View in: PubMed
    Score: 0.021
  14. Whole-exome sequencing and clinical interpretation of formalin-fixed, paraffin-embedded tumor samples to guide precision cancer medicine. Nat Med. 2014 Jun; 20(6):682-8.
    View in: PubMed
    Score: 0.021
  15. ShortRead: a bioconductor package for input, quality assessment and exploration of high-throughput sequence data. Bioinformatics. 2009 Oct 01; 25(19):2607-8.
    View in: PubMed
    Score: 0.015
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.