Search Results - "Schatz, Michael C."

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  1. 1

    Assemblytics: a web analytics tool for the detection of variants from an assembly by Nattestad, Maria, Schatz, Michael C

    Published in Bioinformatics (Oxford, England) (01-10-2016)
    “…Assemblytics is a web app for detecting and analyzing variants from a de novo genome assembly aligned to a reference genome. It incorporates a unique anchor…”
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  2. 2

    GenomeScope 2.0 and Smudgeplot for reference-free profiling of polyploid genomes by Ranallo-Benavidez, T. Rhyker, Jaron, Kamil S., Schatz, Michael C.

    Published in Nature communications (18-03-2020)
    “…An important assessment prior to genome assembly and related analyses is genome profiling, where the k-mer frequencies within raw sequencing reads are analyzed…”
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  3. 3

    Piercing the dark matter: bioinformatics of long-range sequencing and mapping by Sedlazeck, Fritz J., Lee, Hayan, Darby, Charlotte A., Schatz, Michael C.

    Published in Nature reviews. Genetics (01-06-2018)
    “…Several new genomics technologies have become available that offer long-read sequencing or long-range mapping with higher throughput and higher resolution…”
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  4. 4

    Accurate detection of complex structural variations using single-molecule sequencing by Sedlazeck, Fritz J., Rescheneder, Philipp, Smolka, Moritz, Fang, Han, Nattestad, Maria, von Haeseler, Arndt, Schatz, Michael C.

    Published in Nature methods (01-06-2018)
    “…Structural variations are the greatest source of genetic variation, but they remain poorly understood because of technological limitations. Single-molecule…”
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  5. 5

    RaGOO: fast and accurate reference-guided scaffolding of draft genomes by Alonge, Michael, Soyk, Sebastian, Ramakrishnan, Srividya, Wang, Xingang, Goodwin, Sara, Sedlazeck, Fritz J, Lippman, Zachary B, Schatz, Michael C

    Published in Genome Biology (28-10-2019)
    “…We present RaGOO, a reference-guided contig ordering and orienting tool that leverages the speed and sensitivity of Minimap2 to accurately achieve…”
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  6. 6

    Automated assembly scaffolding using RagTag elevates a new tomato system for high-throughput genome editing by Alonge, Michael, Lebeigle, Ludivine, Kirsche, Melanie, Jenike, Katie, Ou, Shujun, Aganezov, Sergey, Wang, Xingang, Lippman, Zachary B, Schatz, Michael C, Soyk, Sebastian

    Published in Genome Biology (15-12-2022)
    “…Advancing crop genomics requires efficient genetic systems enabled by high-quality personalized genome assemblies. Here, we introduce RagTag, a toolset for…”
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  7. 7

    GenomeScope: fast reference-free genome profiling from short reads by Vurture, Gregory W, Sedlazeck, Fritz J, Nattestad, Maria, Underwood, Charles J, Fang, Han, Gurtowski, James, Schatz, Michael C

    Published in Bioinformatics (Oxford, England) (15-07-2017)
    “…GenomeScope is an open-source web tool to rapidly estimate the overall characteristics of a genome, including genome size, heterozygosity rate and repeat…”
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  8. 8

    Jasmine and Iris: population-scale structural variant comparison and analysis by Kirsche, Melanie, Prabhu, Gautam, Sherman, Rachel, Ni, Bohan, Battle, Alexis, Aganezov, Sergey, Schatz, Michael C.

    Published in Nature methods (01-03-2023)
    “…The availability of long reads is revolutionizing studies of structural variants (SVs). However, because SVs vary across individuals and are discovered through…”
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  9. 9

    Oxford Nanopore sequencing, hybrid error correction, and de novo assembly of a eukaryotic genome by Goodwin, Sara, Gurtowski, James, Ethe-Sayers, Scott, Deshpande, Panchajanya, Schatz, Michael C, McCombie, W Richard

    Published in Genome research (01-11-2015)
    “…Monitoring the progress of DNA molecules through a membrane pore has been postulated as a method for sequencing DNA for several decades. Recently, a…”
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  10. 10

    Big Data: Astronomical or Genomical? by Stephens, Zachary D, Lee, Skylar Y, Faghri, Faraz, Campbell, Roy H, Zhai, Chengxiang, Efron, Miles J, Iyer, Ravishankar, Schatz, Michael C, Sinha, Saurabh, Robinson, Gene E

    Published in PLoS biology (01-07-2015)
    “…Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data…”
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  11. 11

    Hybrid error correction and de novo assembly of single-molecule sequencing reads by Koren, Sergey, Schatz, Michael C, Walenz, Brian P, Martin, Jeffrey, Howard, Jason T, Ganapathy, Ganeshkumar, Wang, Zhong, Rasko, David A, McCombie, W Richard, Jarvis, Erich D, Phillippy, Adam M

    Published in Nature biotechnology (01-07-2012)
    “…Single-molecule sequencing technologies can produce multikilobase-long reads, which are more useful than short reads for assembling genomes and transcriptomes,…”
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  12. 12

    A multi-task convolutional deep neural network for variant calling in single molecule sequencing by Luo, Ruibang, Sedlazeck, Fritz J., Lam, Tak-Wah, Schatz, Michael C.

    Published in Nature communications (01-03-2019)
    “…The accurate identification of DNA sequence variants is an important, but challenging task in genomics. It is particularly difficult for single molecule…”
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  13. 13

    Ribbon: intuitive visualization for complex genomic variation by Nattestad, Maria, Aboukhalil, Robert, Chin, Chen-Shan, Schatz, Michael C

    Published in Bioinformatics (Oxford, England) (20-04-2021)
    “…Ribbon is an alignment visualization tool that shows how alignments are positioned within both the reference and read contexts, giving an intuitive view that…”
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    Assembly of large genomes using second-generation sequencing by Schatz, Michael C, Delcher, Arthur L, Salzberg, Steven L

    Published in Genome research (01-09-2010)
    “…Second-generation sequencing technology can now be used to sequence an entire human genome in a matter of days and at low cost. Sequence read lengths,…”
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  16. 16

    Quake: quality-aware detection and correction of sequencing errors by Kelley, David R, Schatz, Michael C, Salzberg, Steven L

    Published in Genome biology (01-01-2010)
    “…We introduce Quake, a program to detect and correct errors in DNA sequencing reads. Using a maximum likelihood approach incorporating quality values and…”
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  17. 17

    Sketching and sampling approaches for fast and accurate long read classification by Das, Arun, Schatz, Michael C

    Published in BMC bioinformatics (31-10-2022)
    “…In modern sequencing experiments, quickly and accurately identifying the sources of the reads is a crucial need. In metagenomics, where each read comes from…”
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    Paragraph: a graph-based structural variant genotyper for short-read sequence data by Chen, Sai, Krusche, Peter, Dolzhenko, Egor, Sherman, Rachel M, Petrovski, Roman, Schlesinger, Felix, Kirsche, Melanie, Bentley, David R, Schatz, Michael C, Sedlazeck, Fritz J, Eberle, Michael A

    Published in Genome Biology (19-12-2019)
    “…Accurate detection and genotyping of structural variations (SVs) from short-read data is a long-standing area of development in genomics research and clinical…”
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  20. 20

    Addressing confounding artifacts in reconstruction of gene co-expression networks by Parsana, Princy, Ruberman, Claire, Jaffe, Andrew E, Schatz, Michael C, Battle, Alexis, Leek, Jeffrey T

    Published in Genome Biology (16-05-2019)
    “…Gene co-expression networks capture biological relationships between genes and are important tools in predicting gene function and understanding disease…”
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