Partitioning RNAs by length improves transcriptome reconstruction from short-read RNA-seq data.
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| Title: | Partitioning RNAs by length improves transcriptome reconstruction from short-read RNA-seq data. |
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| Authors: | Ringeling FR; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany., Chakraborty S; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany., Vissers C; Department of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA., Reiman D; Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, USA., Patel AM; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany., Lee KH; Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea., Hong A; Center for RNA Research, Institute for Basic Science (IBS), Seoul, Republic of Korea.; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea., Park CW; Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea., Reska T; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany., Gagneur J; Department of Informatics, Technical University of Munich, Garching, Germany.; Institute of Human Genetics, Technical University of Munich, Munich, Germany.; Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany., Chang H; Center for RNA Research, Institute for Basic Science (IBS), Seoul, Republic of Korea.; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.; School of Biological Sciences, Seoul National University, Seoul, Republic of Korea., Spletter ML; Biomedical Center, Department of Physiological Chemistry, Ludwig-Maximilians-Universität München, Martinsried-Planegg, Germany., Yoon KJ; Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea., Ming GL; Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, PA, USA., Song H; Department of Neuroscience and Mahoney Institute for Neurosciences, University of Pennsylvania, Philadelphia, PA, USA., Canzar S; Gene Center, Ludwig-Maximilians-Universität München, Munich, Germany. canzar@genzentrum.lmu.de. |
| Source: | Nature biotechnology [Nat Biotechnol] 2022 May; Vol. 40 (5), pp. 741-750. Date of Electronic Publication: 2022 Jan 10. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature America Publishing Country of Publication: United States NLM ID: 9604648 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-1696 (Electronic) Linking ISSN: 10870156 NLM ISO Abbreviation: Nat Biotechnol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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