 Connection
Laura Saba to High-Throughput Nucleotide Sequencing
This is a "connection" page, showing publications Laura Saba has written about High-Throughput Nucleotide Sequencing.
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Connection Strength |
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1.073 |
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Lusk R, Stene E, Banaei-Kashani F, Tabakoff B, Kechris K, Saba LM. Aptardi predicts polyadenylation sites in sample-specific transcriptomes using high-throughput RNA sequencing and DNA sequence. Nat Commun. 2021 03 12; 12(1):1652.
Score: 0.629
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Russell PH, Vestal B, Shi W, Rudra PD, Dowell R, Radcliffe R, Saba L, Kechris K. miR-MaGiC improves quantification accuracy for small RNA-seq. BMC Res Notes. 2018 May 15; 11(1):296.
Score: 0.129
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Rudra P, Shi WJ, Vestal B, Russell PH, Odell A, Dowell RD, Radcliffe RA, Saba LM, Kechris K. Model based heritability scores for high-throughput sequencing data. BMC Bioinformatics. 2017 Mar 02; 18(1):143.
Score: 0.119
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Saba LM, Flink SC, Vanderlinden LA, Israel Y, Tampier L, Colombo G, Kiianmaa K, Bell RL, Printz MP, Flodman P, Koob G, Richardson HN, Lombardo J, Hoffman PL, Tabakoff B. The sequenced rat brain transcriptome--its use in identifying networks predisposing alcohol consumption. FEBS J. 2015 Sep; 282(18):3556-78.
Score: 0.106
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Saba L, Hoffman PL, Hornbaker C, Bhave SV, Tabakoff B. Expression quantitative trait loci and the PhenoGen database. Alcohol Res Health. 2008; 31(3):272-4.
Score: 0.063
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Vanderlinden LA, Saba LM, Bennett B, Hoffman PL, Tabakoff B. Influence of sex on genetic regulation of "drinking in the dark" alcohol consumption. Mamm Genome. 2015 Feb; 26(1-2):43-56.
Score: 0.026
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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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