يعرض 1 - 20 نتائج من 690 نتيجة بحث عن '"Sequenzierung"', وقت الاستعلام: 0.64s تنقيح النتائج
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    المؤلفون: Beukers, M, Allmer, J

    المصدر: GMS Medizinische Informatik, Biometrie und Epidemiologie; VOL: 19; DOC06 /20230704/

    Relation: Afgan E, Baker D, Batut B, van den Beek M, Bouvier D, Cech M, Chilton J, Clements D, Coraor N, Grüning BA, Guerler A, Hillman-Jackson J, Hiltemann S, Jalili V, Rasche H, Soranzo N, Goecks J, Taylor J, Nekrutenko A, Blankenberg D. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Res. 2018 Jul;46(W1):W537-44. DOI:10.1093/nar/gky379; Amstutz P, Crusoe MR, Tijanic N, Chapman B, Chilton J, Heuer M, Kartashov A, Leehr D, Ménager H, Nedeljkovich M, Scales M, Soiland-Reyes S, Stojanovic L. Common Workflow Language, v1.0. Figshare; 2016. DOI:10.6084/m9.figshare.3115156.v2; Berthold MR, Cebron N, Dill F, Gabriel TR, Kötter T, Meinl T, Ohl P, Sieb C, Thiel K, Wiswedel, B. KNIME: The Konstanz Information Miner. In: Preisach C, Burkhardt H, Schmidt-Thime L, Decker R, editor. Data Analysis, Machine Learning and Applications. Berlin: Springer; 2008. p. 319-26.; Beukers M, Allmer J. Testdata. In: RNA-seqFlow. Available from: https://github.com/MatthieuBeukers/RNA-seqFlow/tree/master/testdata; Beukers M, Allmer J. RNA-seqFlow. Available from: https://github.com/MatthieuBeukers/RNA-seqFlow; Bolger AM, Lohse M, Usadel B. Trimmomatic: A flexible trimmer for Illumina sequence data. Bioinformatics. 2014 Aug;30(15):2114-20. DOI:10.1093/bioinformatics/btu170; Bray NL, Pimentel H, Melsted P, Pachter L. Near-optimal probabilistic RNA-seq quantification. Nat Biotechnol. 2016 May;34(5):525-7. DOI:10.1038/nbt.3519; Döring A, Weese D, Rausch T, Reinert K. SeqAn an efficient, generic C++ library for sequence analysis. BMC Bioinformatics. 2008 Jan;9:11. DOI:10.1186/1471-2105-9-11; de la Garza L, Veit J, Szolek A, Röttig M, Aiche S, Gesing S, Reinert K, Kohlbacher O. From the desktop to the grid: Scalable bioinformatics via workflow conversion. BMC Bioinformatics. 2016 Mar;17:127. DOI:10.1186/s12859-016-0978-9; Goble CA, Bhagat J, Aleksejevs S, Cruickshank D, Michaelides D, Newman D, Borkum M, Bechhofer S, Roos M, Li P, De Roure D. myExperiment: A repository and social network for the sharing of bioinformatics workflows. Nucleic Acids Res. 2010 Jul;38(Web Server issue):W677-82. DOI:10.1093/nar/gkq429; Has C, Allmer J. PGMiner: Complete proteogenomics workflow; from data acquisition to result visualization. Inf Sci (NY). 2017 Apr;384:126-34. DOI:10.1016/j.ins.2016.08.005; Hull D, Wolstencroft K, Stevens R, Goble C, Pocock MR, Li P, Oinn T. Taverna: A tool for building and running workflows of services. Nucleic Acids Res. 2006 Jul;34(Web Server issue):W729-32. DOI:10.1093/nar/gkl320; King G. An introduction to the dataverse network as an infrastructure for data sharing. Sociol Methods Res. 2007;36(2):173-99. DOI:10.1177/0049124107306660; Ko G, Kim PG, Yoon J, Han G, Park SJ, Song W, Lee B. Closha: Bioinformatics workflow system for the analysis of massive sequencing data. BMC Bioinformatics. 2018 Feb;19(Suppl 1):43. DOI:10.1186/s12859-018-2019-3; Linke B, Giegerich R, Goesmann A. Conveyor: a workflow engine for bioinformatic analyses. Bioinformatics. 2011 Apr;27(7):903-11. DOI:10.1093/bioinformatics/btr040; Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550. DOI:10.1186/s13059-014-0550-8; R Core Team. R: A Language and environment for statistical computing. 2016.; Spjuth O, Bongcam-Rudloff E, Hernández GC, Forer L, Giovacchini M, Guimera RV, Kallio A, Korpelainen E, Kandula MM, Krachunov M, Kreil DP, Kulev O, Labaj PP, Lampa S, Pireddu L, Schönherr S, Siretskiy A, Vassilev D. Experiences with workflows for automating data-intensive bioinformatics. Biol Direct. 2015 Aug;10:43. DOI:10.1186/s13062-015-0071-8; Terstyanszky G, Kukla T, Kiss T, Kacsuk P, Balasko A, Farkas,Z. Enabling scientific workflow sharing through coarse-grained interoperability. Future Gener Comput Syst. 2014 Jul;37:46-59. DOI:10.1016/j.future.2014.02.016; Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, Blomberg N, Boiten JW, da Silva Santos LB, Bourne PE, Bouwman J, Brookes AJ, Clark T, Crosas M, Dillo I, Dumon O, Edmunds S, Evelo CT, Finkers R, Gonzalez-Beltran A, Gray AJ, Groth P, Goble C, Grethe JS, Heringa J, 't Hoen PA, Hooft R, Kuhn T, Kok R, Kok J, Lusher SJ, Martone ME, Mons A, Packer AL, Persson B, Rocca-Serra P, Roos M, van Schaik R, Sansone SA, Schultes E, Sengstag T, Slater T, Strawn G, Swertz MA, Thompson M, van der Lei J, van Mulligen E, Velterop J, Waagmeester A, Wittenburg P, Wolstencroft K, Zhao J, Mons B. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data. 2016 Mar;3:160018. DOI:10.1038/sdata.2016.18; http://dx.doi.org/10.3205/mibe000245; http://nbn-resolving.de/urn:nbn:de:0183-mibe0002457; http://www.egms.de/en/journals/mibe/2023-19/mibe000245.shtml

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