Banks, Eric

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research

Genomics and Phylogenetic StudiesScientific Computing and Data Management

Cited by 27,895

Analysis of protein-coding genetic variation in 60,706 humans

Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 9,587

The mutational constraint spectrum quantified from variation in 141,456 humans

Karczewski, K. J., Francioli, L. C., Tiao, G., Cummings, B. B., Alföldi, J., Wang, Q., Collins, R. L., Laricchia, K. M., Ganna, A., Birnbaum, D. P., et al. (2020) · Nature

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 9,434

From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline

Van der Auwera, G. A., Carneiro, M. O., Hartl, C., Poplin, R., del Angel, G., Levy‐Moonshine, A., Jordan, T., Shakir, K., Roazen, D., Thibault, J., et al. (2013) · Current Protocols in Bioinformatics

Genomics and Phylogenetic StudiesGenomics and Rare Diseases

Cited by 6,687

Patterns and rates of exonic de novo mutations in autism spectrum disorders

Neale, B. M., Kou, Y., Liu, L., Ma’ayan, A., Samocha, K. E., Sabo, A., Lin, C.-F., Stevens, C., Wang, L.-S., Makarov, V., et al. (2012) · Nature

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 1,734

A genomic mutational constraint map using variation in 76,156 human genomes

Chen, S., Francioli, L. C., Goodrich, J. K., Collins, R. L., Kanai, M., Wang, Q., Alföldi, J., Watts, N. A., Vittal, C., Gauthier, L. D., et al. (2024) · Nature

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 1,727

The mutational constraint spectrum quantified from variation in 141,456 humans

Karczewski, K. J., Francioli, L. C., Tiao, G., Cummings, B. B., Alföldi, J., Wang, Q., Collins, R. L., Laricchia, K. M., Ganna, A., Birnbaum, D. P., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 1,662

De novo mutations in schizophrenia implicate synaptic networks

Fromer, M., Pocklington, A. J., Kavanagh, D. H., Williams, H. J., Dwyer, S., Gormley, P., Georgieva, L., Rees, E., Palta, P., Ruderfer, D. M., et al. (2014) · Nature

Schizophrenia research and treatmentGenetics and Neurodevelopmental Disorders

Cited by 1,617

A polygenic burden of rare disruptive mutations in schizophrenia

Purcell, S. M., Moran, J. L., Fromer, M., Ruderfer, D., Solovieff, N., Roussos, P., O’Dushlaine, C., Chambert, K., Bergen, S. E., Kähler, A., et al. (2014) · Nature

Schizophrenia research and treatmentGenetic Associations and Epidemiology

Cited by 1,385

A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

MacArthur, D. G., Balasubramanian, S., Frankish, A., Huang, N., Morris, J., Walter, K., Jostins, L., Habegger, L., Pickrell, J. K., Montgomery, S. B., et al. (2012) · Science

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 1,272

The genetic architecture of type 2 diabetes

Fuchsberger, C., Flannick, J., Teslovich, T. M., Mahajan, A., Agarwala, V., Gaulton, K. J., Ma, C., Fontanillas, P., Moutsianas, L., McCarthy, D. J., et al. (2016) · Nature

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 1,051

Unsupervised removal of systematic background noise from droplet-based single-cell experiments using CellBender

Fleming, S. J., Chaffin, M. D., Arduini, A., Akkad, A.-D., Banks, E., Marioni, J. C., Philippakis, A. A., Ellinor, P. T., & Babadi, M. (2023) · Nature Methods

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 867

Exome Sequencing, ANGPTL3 Mutations, and Familial Combined Hypolipidemia

Musunuru, K., Pirruccello, J. P., Do, R., Peloso, G. M., Guiducci, C., Sougnez, C., Garimella, K. V., Fisher, S., Abreu, J., Barry, A. J., et al. (2010) · New England Journal of Medicine

Lipid metabolism and disordersLipoproteins and Cardiovascular Health

Cited by 754

Rare coding variation provides insight into the genetic architecture and phenotypic context of autism

Fu, J. M., Satterstrom, F. K., Peng, M., Brand, H., Collins, R. L., Dong, S., Wamsley, B., Klei, L., Wang, L., Hao, S. P., et al. (2022) · Nature Genetics

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 640

Tools and best practices for data processing in allelic expression analysis.

Castel, S. E., Levy-Moonshine, A., Mohammadi, P., Banks, E., & Lappalainen, T. (2015) · Genome Biology

Genomics and Phylogenetic StudiesRNA Research and Splicing

Cited by 375

Effect of predicted protein-truncating genetic variants on the human transcriptome

Rivas, M. A., Pirinen, M., Conrad, D. F., Lek, M., Tsang, E. K., Karczewski, K. J., Maller, J. B., Kukurba, K. R., DeLuca, D. S., Fromer, M., et al. (2015) · Science

Genomics and Rare DiseasesRNA Research and Splicing

Cited by 313

Unsupervised removal of systematic background noise from droplet-based single-cell experiments using <tt>CellBender</tt>

Fleming, S. J., Chaffin, M. D., Arduini, A., Akkad, A.-D., Banks, E., Marioni, J. C., Philippakis, A. A., Ellinor, P. T., & Babadi, M. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 164

Analysis of Rare, Exonic Variation amongst Subjects with Autism Spectrum Disorders and Population Controls

Liu, L., Sabo, A., Neale, B. M., Nagaswamy, U., Stevens, C., Lim, E., Bodea, C. A., Muzny, D., Reid, J. G., Banks, E., et al. (2013) · PLoS Genetics

Autism Spectrum Disorder ResearchGenomics and Rare Diseases

Cited by 135

Comparing strategies to fine-map the association of common SNPs at chromosome 9p21 with type 2 diabetes and myocardial infarction

The Myocardial Infarction Genetics Consortium, Shea, J., Agarwala, V., Philippakis, A. A., Maguire, J., Banks, E., DePristo, M., Thomson, B., Guiducci, C., Onofrio, R. C., et al. (2011) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 87