 Connection
Max Seibold to High-Throughput Nucleotide Sequencing
This is a "connection" page, showing publications Max Seibold has written about High-Throughput Nucleotide Sequencing.
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Connection Strength |
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0.715 |
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Jackson ND, Ringel L, Seibold MA. Computational Analysis of RNA-Seq Data from Airway Epithelial Cells for Studying Lung Disease. Methods Mol Biol. 2018; 1809:203-235.
Score: 0.481
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Mangul S, Yang HT, Strauli N, Gruhl F, Porath HT, Hsieh K, Chen L, Daley T, Christenson S, Wesolowska-Andersen A, Spreafico R, Rios C, Eng C, Smith AD, Hernandez RD, Ophoff RA, Santana JR, Levanon EY, Woodruff PG, Burchard E, Seibold MA, Shifman S, Eskin E, Zaitlen N. ROP: dumpster diving in RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues. Genome Biol. 2018 02 15; 19(1):36.
Score: 0.121
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Wesolowska-Andersen A, Everman JL, Davidson R, Rios C, Herrin R, Eng C, Janssen WJ, Liu AH, Oh SS, Kumar R, Fingerlin TE, Rodriguez-Santana J, Burchard EG, Seibold MA. Dual RNA-seq reveals viral infections in asthmatic children without respiratory illness which are associated with changes in the airway transcriptome. Genome Biol. 2017 01 19; 18(1):12.
Score: 0.113
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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