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2020 – today
- 2024
[c7]Nika Mansouri-Ghiasi, Mohammad Sadrosadati, Harun Mustafa
, Arvid Gollwitzer, Can Firtina, Julien Eudine, Haiyu Mao, Joël Lindegger, Meryem Banu Cavlak, Mohammed Alser, Jisung Park, Onur Mutlu:
MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing. ISCA 2024: 660-677- [i5]Nika Mansouri-Ghiasi, Mohammad Sadrosadati, Harun Mustafa, Arvid Gollwitzer, Can Firtina, Julien Eudine, Haiyu Mao, Joël Lindegger, Meryem Banu Cavlak, Mohammed Alser, Jisung Park, Onur Mutlu:
MegIS: High-Performance, Energy-Efficient, and Low-Cost Metagenomic Analysis with In-Storage Processing. CoRR abs/2406.19113 (2024) - 2023
- [i4]Nika Mansouri-Ghiasi, Mohammad Sadrosadati, Harun Mustafa, Arvid Gollwitzer, Can Firtina, Julien Eudine, Haiyu Mao, Joël Lindegger, Meryem Banu Cavlak, Mohammed Alser, Jisung Park, Onur Mutlu:
MetaStore: High-Performance Metagenomic Analysis via In-Storage Computing. CoRR abs/2311.12527 (2023) - 2022
- [b1]Harun Mustafa:
Algorithms for efficient sensitive search and sample comparison on petabase-scale genomics data. ETH Zurich, Zürich, Switzerland, 2022 - [c6]Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser, Onur Mutlu:
GenStore: a high-performance in-storage processing system for genome sequence analysis. ASPLOS 2022: 635-654 - [c5]Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser, Onur Mutlu:
GenStore: In-Storage Filtering of Genomic Data for High-Performance and Energy-Efficient Genome Analysis. ISVLSI 2022: 283-287 - [c4]Mikhail Karasikov, Harun Mustafa, Gunnar Rätsch, André Kahles:
Lossless Indexing with Counting de Bruijn Graphs. RECOMB 2022: 374-376 - [i3]Nika Mansouri-Ghiasi, Jisung Park, Harun Mustafa, Jeremie S. Kim, Ataberk Olgun, Arvid Gollwitzer, Damla Senol Cali, Can Firtina, Haiyu Mao, Nour Almadhoun Alserr, Rachata Ausavarungnirun, Nandita Vijaykumar, Mohammed Alser, Onur Mutlu:
GenStore: A High-Performance and Energy-Efficient In-Storage Computing System for Genome Sequence Analysis. CoRR abs/2202.10400 (2022) - 2021
- [j3]Daniel Danciu, Mikhail Karasikov, Harun Mustafa, André Kahles, Gunnar Rätsch:
Topology-based sparsification of graph annotations. Bioinform. 37(Supplement): 169-176 (2021) - 2020
- [j2]Mikhail Karasikov, Harun Mustafa, Amir Joudaki, Sara Javadzadeh-No, Gunnar Rätsch, André Kahles:
Sparse Binary Relation Representations for Genome Graph Annotation. J. Comput. Biol. 27(4): 626-639 (2020) - [c3]Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik:
Communication-Efficient Jaccard similarity for High-Performance Distributed Genome Comparisons. IPDPS 2020: 1122-1132 - [c2]Pesho Ivanov, Benjamin Bichsel, Harun Mustafa, André Kahles, Gunnar Rätsch, Martin T. Vechev:
AStarix: Fast and Optimal Sequence-to-Graph Alignment. RECOMB 2020: 104-119
2010 – 2019
- 2019
- [j1]Harun Mustafa, Ingo Schilken, Mikhail Karasikov, Carsten Eickhoff, Gunnar Rätsch, André Kahles:
Dynamic compression schemes for graph coloring. Bioinform. 35(3): 407-414 (2019) - [c1]Mikhail Karasikov, Harun Mustafa, Amir Joudaki, Sara Javadzadeh-No, Gunnar Rätsch, André Kahles:
Sparse Binary Relation Representations for Genome Graph Annotation. RECOMB 2019: 120-135 - [i2]Andreas Georgiou, Vincent Fortuin, Harun Mustafa, Gunnar Rätsch:
Deep Multiple Instance Learning for Taxonomic Classification of Metagenomic read sets. CoRR abs/1909.13146 (2019) - [i1]Maciej Besta, Raghavendra Kanakagiri, Harun Mustafa, Mikhail Karasikov, Gunnar Rätsch, Torsten Hoefler, Edgar Solomonik:
Communication-Efficient Jaccard Similarity for High-Performance Distributed Genome Comparisons. CoRR abs/1911.04200 (2019)
Coauthor Index
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last updated on 2024-10-07 22:07 CEST by the dblp team
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