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A Computational Framework for Quantifying and Analyzing System Flexibility

Autor: Pulsipher, Joshua L., Rios, Daniel, Zavala, Victor M.

Publikováno v: Computers & Chemical Engineering 126 (2019) 342-355

We present a computational framework for analyzing and quantifying system flexibility. Our framework incorporates new features that include: general uncertainty characterizations that are constructed using composition of sets, procedures for computin

Externí odkaz: http://arxiv.org/abs/2106.12706

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Akademický článek

Mathematical formulations for consistent travelling salesman problems

Autor: Díaz-Ríos, Daniel, Salazar-González, Juan-José

Publikováno v: In European Journal of Operational Research 1 March 2024 313(2):465-477

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Akademický článek

A database and API for variation, dense genotyping and resequencing data

Autor: Flicek Paul, Stabenau Arne, Birney Ewan, Chen Yuan, McLaren William M, Rios Daniel, Cunningham Fiona

Publikováno v: BMC Bioinformatics, Vol 11, Iss 1, p 238 (2010)

Abstract Background Advances in sequencing and genotyping technologies are leading to the widespread availability of multi-species variation data, dense genotype data and large-scale resequencing projects. The 1000 Genomes Project and similar efforts

Externí odkaz: https://doaj.org/article/8bdbad9d38f648ce8fc68e3223da8f11

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Akademický článek

Ensembl variation resources

Autor: Marin-Garcia Pablo, Kulesha Eugene, Brent Simon, Spudich Giulietta M, Pritchard Bethan, Smith James, McLaren William M, Rios Daniel, Cunningham Fiona, Chen Yuan, Smedley Damian, Birney Ewan, Flicek Paul

Publikováno v: BMC Genomics, Vol 11, Iss 1, p 293 (2010)

Abstract Background The maturing field of genomics is rapidly increasing the number of sequenced genomes and producing more information from those previously sequenced. Much of this additional information is variation data derived from sampling multi

Externí odkaz: https://doaj.org/article/2924d41c9151464ea8cea3de913b3b0f

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