 Connection
Tom Altman to Databases, Genetic
This is a "connection" page, showing publications Tom Altman has written about Databases, Genetic.
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Connection Strength |
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1.307 |
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Hu JC, Sherlock G, Siegele DA, Aleksander SA, Ball CA, Demeter J, Gouni S, Holland TA, Karp PD, Lewis JE, Liles NM, McIntosh BK, Mi H, Muruganujan A, Wymore F, Thomas PD, Altman T. PortEco: a resource for exploring bacterial biology through high-throughput data and analysis tools. Nucleic Acids Res. 2014 Jan; 42(Database issue):D677-84.
Score: 0.408
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Karp PD, Paley S, Altman T. Data mining in the MetaCyc family of pathway databases. Methods Mol Biol. 2013; 939:183-200.
Score: 0.384
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Edgar RC, Taylor B, Lin V, Altman T, Barbera P, Meleshko D, Lohr D, Novakovsky G, Buchfink B, Al-Shayeb B, Banfield JF, de la Pe?a M, Korobeynikov A, Chikhi R, Babaian A. Petabase-scale sequence alignment catalyses viral discovery. Nature. 2022 02; 602(7895):142-147.
Score: 0.180
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Hahn AS, Altman T, Konwar KM, Hanson NW, Kim D, Relman DA, Dill DL, Hallam SJ. A geographically-diverse collection of 418 human gut microbiome pathway genome databases. Sci Data. 2017 04 11; 4:170035.
Score: 0.129
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Keseler IM, Collado-Vides J, Santos-Zavaleta A, Peralta-Gil M, Gama-Castro S, Mu?iz-Rascado L, Bonavides-Martinez C, Paley S, Krummenacker M, Altman T, Kaipa P, Spaulding A, Pacheco J, Latendresse M, Fulcher C, Sarker M, Shearer AG, Mackie A, Paulsen I, Gunsalus RP, Karp PD. EcoCyc: a comprehensive database of Escherichia coli biology. Nucleic Acids Res. 2011 Jan; 39(Database issue):D583-90.
Score: 0.083
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Caspi R, Altman T, Dale JM, Dreher K, Fulcher CA, Gilham F, Kaipa P, Karthikeyan AS, Kothari A, Krummenacker M, Latendresse M, Mueller LA, Paley S, Popescu L, Pujar A, Shearer AG, Zhang P, Karp PD. The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases. Nucleic Acids Res. 2010 Jan; 38(Database issue):D473-9.
Score: 0.077
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Shearer AG, Altman T, Rhee CD. Finding sequences for over 270 orphan enzymes. PLoS One. 2014; 9(5):e97250.
Score: 0.026
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Le T, Altman T, Gardiner K. HIGEDA: a hierarchical gene-set genetics based algorithm for finding subtle motifs in biological sequences. Bioinformatics. 2010 Feb 01; 26(3):302-9.
Score: 0.019
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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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