252 related articles for article (PubMed ID: 29967471)
1. Enumerating all possible biosynthetic pathways in metabolic networks.
Ravikrishnan A; Nasre M; Raman K
Sci Rep; 2018 Jul; 8(1):9932. PubMed ID: 29967471
[TBL] [Abstract][Full Text] [Related]
2. Algorithms and complexity of enumerating minimal precursor sets in genome-wide metabolic networks.
Acuña V; Milreu PV; Cottret L; Marchetti-Spaccamela A; Stougie L; Sagot MF
Bioinformatics; 2012 Oct; 28(19):2474-83. PubMed ID: 22782547
[TBL] [Abstract][Full Text] [Related]
3. An algorithm for designing minimal microbial communities with desired metabolic capacities.
Eng A; Borenstein E
Bioinformatics; 2016 Jul; 32(13):2008-16. PubMed ID: 27153571
[TBL] [Abstract][Full Text] [Related]
4. Mackinac: a bridge between ModelSEED and COBRApy to generate and analyze genome-scale metabolic models.
Mundy M; Mendes-Soares H; Chia N
Bioinformatics; 2017 Aug; 33(15):2416-2418. PubMed ID: 28379466
[TBL] [Abstract][Full Text] [Related]
5. MinReact: a systematic approach for identifying minimal metabolic networks.
Sambamoorthy G; Raman K
Bioinformatics; 2020 Aug; 36(15):4309-4315. PubMed ID: 32407533
[TBL] [Abstract][Full Text] [Related]
6. Fast-SL: an efficient algorithm to identify synthetic lethal sets in metabolic networks.
Pratapa A; Balachandran S; Raman K
Bioinformatics; 2015 Oct; 31(20):3299-305. PubMed ID: 26085504
[TBL] [Abstract][Full Text] [Related]
7. Computing Elementary Flux Modes Involving a Set of Target Reactions.
David L; Bockmayr A
IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(6):1099-107. PubMed ID: 26357047
[TBL] [Abstract][Full Text] [Related]
8. DEXOM: Diversity-based enumeration of optimal context-specific metabolic networks.
Rodríguez-Mier P; Poupin N; de Blasio C; Le Cam L; Jourdan F
PLoS Comput Biol; 2021 Feb; 17(2):e1008730. PubMed ID: 33571201
[TBL] [Abstract][Full Text] [Related]
9. PyBEL: a computational framework for Biological Expression Language.
Hoyt CT; Konotopez A; Ebeling C; Wren J
Bioinformatics; 2018 Feb; 34(4):703-704. PubMed ID: 29048466
[TBL] [Abstract][Full Text] [Related]
10. A novel algorithm for finding optimal driver nodes to target control complex networks and its applications for drug targets identification.
Guo WF; Zhang SW; Shi QQ; Zhang CM; Zeng T; Chen L
BMC Genomics; 2018 Jan; 19(Suppl 1):924. PubMed ID: 29363426
[TBL] [Abstract][Full Text] [Related]
11. Inferring branching pathways in genome-scale metabolic networks.
Pitkänen E; Jouhten P; Rousu J
BMC Syst Biol; 2009 Oct; 3():103. PubMed ID: 19874610
[TBL] [Abstract][Full Text] [Related]
12. A depth-first search algorithm to compute elementary flux modes by linear programming.
Quek LE; Nielsen LK
BMC Syst Biol; 2014 Jul; 8():94. PubMed ID: 25074068
[TBL] [Abstract][Full Text] [Related]
13. RevEcoR: an R package for the reverse ecology analysis of microbiomes.
Cao Y; Wang Y; Zheng X; Li F; Bo X
BMC Bioinformatics; 2016 Jul; 17(1):294. PubMed ID: 27473172
[TBL] [Abstract][Full Text] [Related]
14. NetCooperate: a network-based tool for inferring host-microbe and microbe-microbe cooperation.
Levy R; Carr R; Kreimer A; Freilich S; Borenstein E
BMC Bioinformatics; 2015 May; 16(1):164. PubMed ID: 25980407
[TBL] [Abstract][Full Text] [Related]
15. tEFMA: computing thermodynamically feasible elementary flux modes in metabolic networks.
Gerstl MP; Jungreuthmayer C; Zanghellini J
Bioinformatics; 2015 Jul; 31(13):2232-4. PubMed ID: 25701571
[TBL] [Abstract][Full Text] [Related]
16. Predicting novel metabolic pathways through subgraph mining.
Sankar A; Ranu S; Raman K
Bioinformatics; 2017 Dec; 33(24):3955-3963. PubMed ID: 28961716
[TBL] [Abstract][Full Text] [Related]
17. Flux tope analysis: studying the coordination of reaction directions in metabolic networks.
Gerstl MP; Müller S; Regensburger G; Zanghellini J
Bioinformatics; 2019 Jan; 35(2):266-273. PubMed ID: 30649351
[TBL] [Abstract][Full Text] [Related]
18. BoostGAPFILL: improving the fidelity of metabolic network reconstructions through integrated constraint and pattern-based methods.
Oyetunde T; Zhang M; Chen Y; Tang Y; Lo C
Bioinformatics; 2017 Feb; 33(4):608-611. PubMed ID: 27797784
[TBL] [Abstract][Full Text] [Related]
19. gapseq: informed prediction of bacterial metabolic pathways and reconstruction of accurate metabolic models.
Zimmermann J; Kaleta C; Waschina S
Genome Biol; 2021 Mar; 22(1):81. PubMed ID: 33691770
[TBL] [Abstract][Full Text] [Related]
20. A mixed-integer linear programming approach to the reduction of genome-scale metabolic networks.
Röhl A; Bockmayr A
BMC Bioinformatics; 2017 Jan; 18(1):2. PubMed ID: 28049424
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
