251 related articles for article (PubMed ID: 35143670)
1. The Carbon Footprint of Bioinformatics.
Grealey J; Lannelongue L; Saw WY; Marten J; Méric G; Ruiz-Carmona S; Inouye M
Mol Biol Evol; 2022 Mar; 39(3):. PubMed ID: 35143670
[TBL] [Abstract][Full Text] [Related]
2. Green Algorithms: Quantifying the Carbon Footprint of Computation.
Lannelongue L; Grealey J; Inouye M
Adv Sci (Weinh); 2021 Jun; 8(12):2100707. PubMed ID: 34194954
[TBL] [Abstract][Full Text] [Related]
3. Telemedicine for sustainable postoperative follow-up: a prospective pilot study evaluating the hybrid life-cycle assessment approach to carbon footprint analysis.
Lathan R; Hitchman L; Walshaw J; Ravindhran B; Carradice D; Smith G; Chetter I; Yiasemidou M
Front Surg; 2024; 11():1300625. PubMed ID: 38562585
[TBL] [Abstract][Full Text] [Related]
4. The Carbon Footprint of Marathon Runners: Training and Racing.
Castaignède L; Veny F; Edwards J; Billat V
Int J Environ Res Public Health; 2021 Mar; 18(5):. PubMed ID: 33803314
[TBL] [Abstract][Full Text] [Related]
5. LASSIE: simulating large-scale models of biochemical systems on GPUs.
Tangherloni A; Nobile MS; Besozzi D; Mauri G; Cazzaniga P
BMC Bioinformatics; 2017 May; 18(1):246. PubMed ID: 28486952
[TBL] [Abstract][Full Text] [Related]
6. MEGAHIT v1.0: A fast and scalable metagenome assembler driven by advanced methodologies and community practices.
Li D; Luo R; Liu CM; Leung CM; Ting HF; Sadakane K; Yamashita H; Lam TW
Methods; 2016 Jun; 102():3-11. PubMed ID: 27012178
[TBL] [Abstract][Full Text] [Related]
7. A case study of the carbon footprint of milk from high-performing confinement and grass-based dairy farms.
O'Brien D; Capper JL; Garnsworthy PC; Grainger C; Shalloo L
J Dairy Sci; 2014 Mar; 97(3):1835-51. PubMed ID: 24440256
[TBL] [Abstract][Full Text] [Related]
8. Calculating the carbon footprint of a Geriatric Medicine clinic before and after COVID-19.
Bartlett S; Keir S
Age Ageing; 2022 Feb; 51(2):. PubMed ID: 35134839
[TBL] [Abstract][Full Text] [Related]
9. Carbon footprint of dairy goat milk production in New Zealand.
Robertson K; Symes W; Garnham M
J Dairy Sci; 2015 Jul; 98(7):4279-93. PubMed ID: 25981064
[TBL] [Abstract][Full Text] [Related]
10. LIFE BEEF CARBON: a common framework for quantifying grass and corn based beef farms' carbon footprints.
O'Brien D; Herron J; Andurand J; Caré S; Martinez P; Migliorati L; Moro M; Pirlo G; Dollé JB
Animal; 2020 Apr; 14(4):834-845. PubMed ID: 31666147
[TBL] [Abstract][Full Text] [Related]
11. Graphics processing units in bioinformatics, computational biology and systems biology.
Nobile MS; Cazzaniga P; Tangherloni A; Besozzi D
Brief Bioinform; 2017 Sep; 18(5):870-885. PubMed ID: 27402792
[TBL] [Abstract][Full Text] [Related]
12. Investigation of carbon footprint effect of renewable power plants regarding energy production: A case study of a city in Turkey.
Kerem A
J Air Waste Manag Assoc; 2022 Mar; 72(3):294-307. PubMed ID: 35030055
[TBL] [Abstract][Full Text] [Related]
13. Costs of switching to low global warming potential inhalers. An economic and carbon footprint analysis of NHS prescription data in England.
Wilkinson AJK; Braggins R; Steinbach I; Smith J
BMJ Open; 2019 Oct; 9(10):e028763. PubMed ID: 31662306
[TBL] [Abstract][Full Text] [Related]
14. CMSA: a heterogeneous CPU/GPU computing system for multiple similar RNA/DNA sequence alignment.
Chen X; Wang C; Tang S; Yu C; Zou Q
BMC Bioinformatics; 2017 Jun; 18(1):315. PubMed ID: 28646874
[TBL] [Abstract][Full Text] [Related]
15. Towards a HPC-oriented parallel implementation of a learning algorithm for bioinformatics applications.
D'Angelo G; Rampone S
BMC Bioinformatics; 2014; 15 Suppl 5(Suppl 5):S2. PubMed ID: 25077818
[TBL] [Abstract][Full Text] [Related]
16. Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS.
Davis NA; Pandey A; McKinney BA
Bioinformatics; 2011 Jan; 27(2):284-5. PubMed ID: 21115438
[TBL] [Abstract][Full Text] [Related]
17. Impact of nitrate and 3-nitrooxypropanol on the carbon footprints of milk from cattle produced in confined-feeding systems across regions in the United States: A life cycle analysis.
Uddin ME; Tricarico JM; Kebreab E
J Dairy Sci; 2022 Jun; 105(6):5074-5083. PubMed ID: 35346477
[TBL] [Abstract][Full Text] [Related]
18. The carbon footprint of a hospice.
Dokal K; Morris M; Spooner R; Perkins P
BMJ Support Palliat Care; 2022 Oct; ():. PubMed ID: 36207062
[TBL] [Abstract][Full Text] [Related]
19. Heterogeneous computing architecture for fast detection of SNP-SNP interactions.
Sluga D; Curk T; Zupan B; Lotric U
BMC Bioinformatics; 2014 Jun; 15():216. PubMed ID: 24964802
[TBL] [Abstract][Full Text] [Related]
20. Assessment of carbon footprint emissions and environmental concerns of solid waste treatment and disposal techniques; case study of Malaysia.
Malakahmad A; Abualqumboz MS; Kutty SRM; Abunama TJ
Waste Manag; 2017 Dec; 70():282-292. PubMed ID: 28935377
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
