Hasil Pencarian - Rob Patro

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  1. 1
    Algorithms meet sequencing technologies – 10th edition of the RECOMB-Seq workshop

    Algorithms meet sequencing technologies – 10th edition of the RECOMB-Seq workshop oleh Rob Patro, Leena Salmela

    Diterbitkan 2021-01-01
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  2. 2
    Perplexity: evaluating transcript abundance estimation in the absence of ground truth

    Perplexity: evaluating transcript abundance estimation in the absence of ground truth oleh Jason Fan, Skylar Chan, Rob Patro

    Diterbitkan 2022-03-01
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  3. 3
    Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification [version 2; referees: 1 approved, 2 approved with reservations]

    Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification [version 2; referees: 1 approved, 2 approved with reservations] oleh Michael I. Love, Charlotte Soneson, Rob Patro

    Diterbitkan 2018-09-01
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  4. 4
    Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification [version 3; referees: 1 approved, 2 approved with reservations]

    Swimming downstream: statistical analysis of differential transcript usage following Salmon quantification [version 3; referees: 1 approved, 2 approved with reservations] oleh Michael I. Love, Charlotte Soneson, Rob Patro

    Diterbitkan 2018-10-01
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  5. 5
    Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2

    Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2 oleh Jamshed Khan, Marek Kokot, Sebastian Deorowicz, Rob Patro

    Diterbitkan 2022-09-01
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  6. 6
    TreeTerminus —creating transcript trees using inferential replicate counts

    TreeTerminus —creating transcript trees using inferential replicate counts oleh Noor Pratap Singh, Michael I. Love, Rob Patro

    Diterbitkan 2023-06-01
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  7. 7
    Preprocessing choices affect RNA velocity results for droplet scRNA-seq data.

    Preprocessing choices affect RNA velocity results for droplet scRNA-seq data. oleh Charlotte Soneson, Avi Srivastava, Rob Patro, Michael B Stadler

    Diterbitkan 2021-01-01
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  8. 8
    Alevin efficiently estimates accurate gene abundances from dscRNA-seq data

    Alevin efficiently estimates accurate gene abundances from dscRNA-seq data oleh Avi Srivastava, Laraib Malik, Tom Smith, Ian Sudbery, Rob Patro

    Diterbitkan 2019-03-01
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  9. 9
    Fast, parallel, and cache-friendly suffix array construction

    Fast, parallel, and cache-friendly suffix array construction oleh Jamshed Khan, Tobias Rubel, Erin Molloy, Laxman Dhulipala, Rob Patro

    Diterbitkan 2024-04-01
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  10. 10
    Fulgor: a fast and compact k-mer index for large-scale matching and color queries

    Fulgor: a fast and compact k-mer index for large-scale matching and color queries oleh Jason Fan, Jamshed Khan, Noor Pratap Singh, Giulio Ermanno Pibiri, Rob Patro

    Diterbitkan 2024-01-01
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  11. 11
    AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite

    AGAMEMNON: an Accurate metaGenomics And MEtatranscriptoMics quaNtificatiON analysis suite oleh Giorgos Skoufos, Fatemeh Almodaresi, Mohsen Zakeri, Joseph N. Paulson, Rob Patro, Artemis G. Hatzigeorgiou, Ioannis S. Vlachos

    Diterbitkan 2022-01-01
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  12. 12
    Alignment and mapping methodology influence transcript abundance estimation

    Alignment and mapping methodology influence transcript abundance estimation oleh Avi Srivastava, Laraib Malik, Hirak Sarkar, Mohsen Zakeri, Fatemeh Almodaresi, Charlotte Soneson, Michael I. Love, Carl Kingsford, Rob Patro

    Diterbitkan 2020-09-01
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  13. 13
    Tximeta: Reference sequence checksums for provenance identification in RNA-seq.

    Tximeta: Reference sequence checksums for provenance identification in RNA-seq. oleh Michael I Love, Charlotte Soneson, Peter F Hickey, Lisa K Johnson, N Tessa Pierce, Lori Shepherd, Martin Morgan, Rob Patro

    Diterbitkan 2020-02-01
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  14. 14
    SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertainty

    SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertainty oleh Euphy Y. Wu, Noor P. Singh, Kwangbom Choi, Mohsen Zakeri, Matthew Vincent, Gary A. Churchill, Cheryl L. Ackert-Bicknell, Rob Patro, Michael I. Love

    Diterbitkan 2023-07-01
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