| Mapping DNA methylation with high-throughput nanopore sequencing AC Rand, M Jain, JM Eizenga, A Musselman-Brown, HE Olsen, M Akeson, ... Nature methods 14 (4), 411-413, 2017 | 200 | 2017 |
| Variation graph toolkit improves read mapping by representing genetic variation in the reference E Garrison, J Sirén, AM Novak, G Hickey, JM Eizenga, ET Dawson, ... Nature biotechnology 36 (9), 875-879, 2018 | 167 | 2018 |
| Genome graphs and the evolution of genome inference B Paten, AM Novak, JM Eizenga, E Garrison Genome research 27 (5), 665-676, 2017 | 155 | 2017 |
| Superbubbles, ultrabubbles, and cacti B Paten, JM Eizenga, YM Rosen, AM Novak, E Garrison, G Hickey Journal of Computational Biology 25 (7), 649-663, 2018 | 28 | 2018 |
| Genome graphs AM Novak, G Hickey, E Garrison, S Blum, A Connelly, A Dilthey, ... bioRxiv, 101378, 2017 | 25 | 2017 |
| Genotyping structural variants in pangenome graphs using the vg toolkit G Hickey, D Heller, J Monlong, JA Sibbesen, J Sirén, J Eizenga, ... Genome biology 21 (1), 1-17, 2020 | 22 | 2020 |
| A phylogenetic approach for haplotype analysis of sequence data from complex mitochondrial mixtures SH Vohr, R Gordon, JM Eizenga, HA Erlich, CD Calloway, RE Green Forensic Science International: Genetics 30, 93-105, 2017 | 18 | 2017 |
| Sequence variation aware genome references and read mapping with the variation graph toolkit E Garrison, J Sirén, AM Novak, G Hickey, JM Eizenga, ET Dawson, ... BioRxiv, 234856, 2017 | 13 | 2017 |
| Sequence variation aware genome references and read mapping with the variation graph toolkit. bioRxiv E Garrison, J Sirén, AM Novak, G Hickey, JM Eizenga, ET Dawson, ... December 234856, 1-27, 2017 | 9 | 2017 |
| Genome graphs. bioRxiv AM Novak, G Hickey, E Garrison, S Blum, A Connelly, A Dilthey, ... DOI 10, 101378, 2017 | 9 | 2017 |
| Aerosol microbiome over the mediterranean sea diversity and abundance E Mescioglu, E Rahav, N Belkin, P Xian, JM Eizenga, A Vichik, B Herut, ... Atmosphere 10 (8), 440, 2019 | 8 | 2019 |
| Modelling haplotypes with respect to reference cohort variation graphs Y Rosen, J Eizenga, B Paten Bioinformatics 33 (14), i118-i123, 2017 | 7 | 2017 |
| Cytosine variant calling with high-throughput nanopore sequencing AC Rand, M Jain, J Eizenga, A Musselman-Brown, HE Olsen, M Akeson, ... BioRxiv, 047134, 2016 | 5 | 2016 |
| Genome Graphs. bioRxiv. 2017 AM Novak, G Hickey, E Garrison, S Blum, A Connelly, A Dilthey, ... Google Scholar, 0 | 5 | |
| Pangenome Graphs JM Eizenga, AM Novak, JA Sibbesen, S Heumos, A Ghaffaari, G Hickey, ... Annual Review of Genomics and Human Genetics 21, 2020 | 4 | 2020 |
| A flow procedure for linearization of genome sequence graphs D Haussler, M Smuga-Otto, JM Eizenga, B Paten, AM Novak, S Nikitin, ... Journal of Computational Biology 25 (7), 664-676, 2018 | 4 | 2018 |
| Describing the local structure of sequence graphs Y Rosen, J Eizenga, B Paten International Conference on Algorithms for Computational Biology, 24-46, 2017 | 3 | 2017 |
| Distance indexing and seed clustering in sequence graphs X Chang, J Eizenga, AM Novak, J Sirén, B Paten Bioinformatics 36 (Supplement_1), i146-i153, 2020 | 2 | 2020 |
| A strategy for building and using a human reference pangenome B Llamas, G Narzisi, V Schneider, PA Audano, E Biederstedt, L Blauvelt, ... F1000Research 8 (1751), 1751, 2019 | 2 | 2019 |
| Efficient dynamic variation graphs JM Eizenga, AM Novak, E Kobayashi, F Villani, C Cisar, S Heumos, ... Bioinformatics, 2020 | 1 | 2020 |
