Faculty

Institution

Unit

Venue

Michael Linderman

Associate Professor of Computer Science

Middlebury College

Affiliations

Middlebury College

School Of Computer Science

Michael Linderman is currently serving as a Middlebury College Associate Professor of Computer Science at Middlebury College.

Honors

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Experiences

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Education

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Michael Linderman

Middlebury College

Associate Professor of Computer Science

You can click a keyword to filter the displayed items

genomics genetics human genetics genome sequencing genome biology next-generation sequencing bioinformatics medicine molecular diagnostics molecular genetics biomedical informatics public health systems biology virology medical genetics genomic medicine genome-wide association studies personal genomics antiviral therapy genotype-phenotype association healthseq project hematology clinical research hepatology cancer care forensic genetics genome analysis mutagenesis cancer treatment computational genomics peopleseq consortium personal genome sequencing longitudinal cohort study structural variants personalized cancer therapy clinical application integrative medicine molecular psychiatry psychological medicine behavioral research psychiatric research applied pharmacology clinical biochemistry pharmacological research pharmacotherapy medicinal research molecular informatics high throughput sequencing personalized treatments cancer genomics cancer biology allergic rhinitis pathway analysis psychiatric genetics cost effectiveness health care costs cohort studies developmental genetics clinical pharmacology pharmacokinetics clinical therapeutics translational pharmacology genetic counseling host genetics cancer genetics genetic disorders sequence assembly whole genome sequencing clinical applications whole exome analytical validation clinical genomics everyday medicine scalable analytics systems data-intensive science coexpression network

Notable Scholarly Works

Notable Federal Grants

Collaborators

Npsv-Deep: A Deep Learning Method for Genotyping Structural Variants in Short Read Genome Sequencing Data. Bioinformatics (2024)

Michael D LindermanJacob WallaceAlderik van der HeydeEliza WiemanDaniel BreyYiran ShiPeter HansenZahra ShamsiJeremiah LiuBruce D GelbAli Bashir

genetic variationdeep learningshort readcomputational biologymolecular informaticsgenome biologymolecular diagnosticsstructural variantssequence assemblybioinformaticsbiologygenome sequencingcomputational genomicsgenomicsbiomedical informaticsnext-generation sequencingsystems biologydeep learning methodgeneticsstructural molecular biologysequence analysis

Development and Validation of a Comprehensive Genomics Knowledge Scale. Public Health Genomics (2021)

Michael D. LindermanSabrina A. SuckielNathan ThompsonDavid J. WeissJ. Scott RobertsRobert C. Green

public healthgenomicscomprehensive genomics

NPSV: A Simulation-Driven Approach to Genotyping Structural Variants in Whole-Genome Sequencing Data. GigaScience (2021)

Michael D LindermanCrystal PaudyalMusab ShakeelWilliam KelleyAli BashirBruce D Gelb

genomicsscientific computingwhole-genome sequencing datageneticsgenome sequencingstructural variantsbioinformatics

Genetic Identification of a Common Collagen Disease in Puerto Ricans via Identity-By-Descent Mapping in a Health System. UNC Libraries (2020)

forensic geneticsepidemiologyhealth systemgeneticsbiostatisticsgenetic identificationcommon collagen diseasegenetic epidemiologyhuman geneticscomplex diseasesgenotype-phenotype association

Genome-Wide Association Analysis of Red Blood Cell Traits in African Americans: The Cogent Network. UNC Libraries (2020)

Chen, ZhaoTang, HuaQayyum, RehanSchick, Ursula M.Nalls, Michael A.Handsaker, RobertLi, JinLu, YingchangYanek, Lisa R.Keating, BrendanMeng, Yanvan Rooij, Frank J.A.Okada, YukinoriKubo, MichiakiRasmussen-Torvik, LauraKeller, Margaux F.Lange, LeslieEvans, MicheleBottinger, Erwin P.Linderman, Michael D.Ruderfer, Douglas M.Hakonarson, HakonPapanicolaou, GeorgeZonderman, Alan B.Gottesman, OmriThomson, CynthiaZiv, EladSingleton, Andrew B.Loos, Ruth J.F.Sleiman, Patrick M.A.Ganesh, SanthiMcCarroll, Steven

genomicscogent networkhuman geneticsgeneticsmolecular geneticsafrican americansmedical geneticscapillary networkstatistical geneticsgenome-wide association studiespopulation genetics

DECA: Scalable Xhmm Exome Copy-Number Variant Calling With Adam and Apache Spark. BMC Bioinformatics (2019)

scalabilitycomputer engineeringparallel computingdata managementapache sparkcomputer science

MYSEQ: Privacy-Protecting Browser-Based Personal Genome Analysis for Genomics Education and Exploration. BMC Medical Genomics (2019)

genomicsgenomics educationbiomedical informaticspersonal genomicsdata privacygeneticscomputational genomicsbiostatisticsbioinformatics

Predispositional Genome Sequencing in Healthy Adults: Design, Participant Characteristics, and Early Outcomes of the Peopleseq Consortium. Genome Medicine (2019)

Emilie S. ZoltickMichael D. LindermanMolly A. McGinnissErica RamosMadeleine P. BallGeorge M. ChurchDebra G. B. LeonardStacey PereiraAmy L. McGuireC. Thomas CaskeySaskia C. SandersonEric E. SchadtDaiva E. NielsenScott D. CrawfordRobert C. Green

genomicsparticipant characteristicspredispositional genome sequencinghealthy adultshealth sciencespeopleseq consortiumearly outcomes

Impacts of Incorporating Personal Genome Sequencing Into Graduate Genomics Education: A Longitudinal Study Over Three Course Years. BMC Medical Genomics (2018)

Michael D. LindermanSaskia C. SandersonAli BashirGeorge A. DiazAndrew KasarskisRandi ZinbergMilind MahajanSabrina A. SuckielMicol ZweigEric E. Schadt

genomicsgenome sequencinglongitudinal studiesgraduate genomics education

Concordance Between Research Sequencing and Clinical Pharmacogenetic Genotyping in the Emerge-Pgx Study. Journal of Molecular Diagnostics (2017)

Laura J. Rasmussen-TorvikBerta AlmogueraKimberly F. DohenyRobert R. FreimuthAdam S. GordonHakon HakonarsonJared B. HawkinsAmmar HusamiLynn C. IvacicIftikhar J. KulloMichael D. LindermanTeri A. ManolioAniwaa Owusu ObengRenata PellegrinoCynthia A. ProwsMarylyn D. RitchieMaureen E. SmithSarah C. StallingsWendy A. WolfKejian ZhangStuart A. Scott

genomicsclinical pharmacogenetic genotypinggeneticsmolecular diagnosticsresearch sequencingemerge-pgx study

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Michael Linderman

Associate Professor of Computer Science

Middlebury College

Affiliations

Middlebury College

School Of Computer Science

Michael Linderman is currently serving as a Middlebury College Associate Professor of Computer Science at Middlebury College.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Michael Linderman

Middlebury College

Associate Professor of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Npsv-Deep: A Deep Learning Method for Genotyping Structural Variants in Short Read Genome Sequencing Data. Bioinformatics (2024)

Michael D LindermanJacob WallaceAlderik van der HeydeEliza WiemanDaniel BreyYiran ShiPeter HansenZahra ShamsiJeremiah LiuBruce D GelbAli Bashir

Development and Validation of a Comprehensive Genomics Knowledge Scale. Public Health Genomics (2021)

Michael D. LindermanSabrina A. SuckielNathan ThompsonDavid J. WeissJ. Scott RobertsRobert C. Green

public healthgenomicscomprehensive genomics

NPSV: A Simulation-Driven Approach to Genotyping Structural Variants in Whole-Genome Sequencing Data. GigaScience (2021)

Michael D LindermanCrystal PaudyalMusab ShakeelWilliam KelleyAli BashirBruce D Gelb

genomicsscientific computingwhole-genome sequencing datageneticsgenome sequencingstructural variantsbioinformatics

Genetic Identification of a Common Collagen Disease in Puerto Ricans via Identity-By-Descent Mapping in a Health System. UNC Libraries (2020)

forensic geneticsepidemiologyhealth systemgeneticsbiostatisticsgenetic identificationcommon collagen diseasegenetic epidemiologyhuman geneticscomplex diseasesgenotype-phenotype association

Genome-Wide Association Analysis of Red Blood Cell Traits in African Americans: The Cogent Network. UNC Libraries (2020)

genomicscogent networkhuman geneticsgeneticsmolecular geneticsafrican americansmedical geneticscapillary networkstatistical geneticsgenome-wide association studiespopulation genetics

DECA: Scalable Xhmm Exome Copy-Number Variant Calling With Adam and Apache Spark. BMC Bioinformatics (2019)

scalabilitycomputer engineeringparallel computingdata managementapache sparkcomputer science

MYSEQ: Privacy-Protecting Browser-Based Personal Genome Analysis for Genomics Education and Exploration. BMC Medical Genomics (2019)

genomicsgenomics educationbiomedical informaticspersonal genomicsdata privacygeneticscomputational genomicsbiostatisticsbioinformatics

Predispositional Genome Sequencing in Healthy Adults: Design, Participant Characteristics, and Early Outcomes of the Peopleseq Consortium. Genome Medicine (2019)

genomicsparticipant characteristicspredispositional genome sequencinghealthy adultshealth sciencespeopleseq consortiumearly outcomes

Impacts of Incorporating Personal Genome Sequencing Into Graduate Genomics Education: A Longitudinal Study Over Three Course Years. BMC Medical Genomics (2018)

Michael D. LindermanSaskia C. SandersonAli BashirGeorge A. DiazAndrew KasarskisRandi ZinbergMilind MahajanSabrina A. SuckielMicol ZweigEric E. Schadt

genomicsgenome sequencinglongitudinal studiesgraduate genomics education

Concordance Between Research Sequencing and Clinical Pharmacogenetic Genotyping in the Emerge-Pgx Study. Journal of Molecular Diagnostics (2017)

genomicsclinical pharmacogenetic genotypinggeneticsmolecular diagnosticsresearch sequencingemerge-pgx study

1
2
3
4
10 / page