Academic literature on the topic 'Low-memory bioinformatics'
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Journal articles on the topic "Low-memory bioinformatics"
Rizk, G., D. Lavenier, and R. Chikhi. "DSK: k-mer counting with very low memory usage." Bioinformatics 29, no. 5 (January 16, 2013): 652–53. http://dx.doi.org/10.1093/bioinformatics/btt020.
Full textChikhi, Rayan, Antoine Limasset, and Paul Medvedev. "Compacting de Bruijn graphs from sequencing data quickly and in low memory." Bioinformatics 32, no. 12 (June 15, 2016): i201—i208. http://dx.doi.org/10.1093/bioinformatics/btw279.
Full textKhan, Jamshed, and Rob Patro. "Cuttlefish: fast, parallel and low-memory compaction of de Bruijn graphs from large-scale genome collections." Bioinformatics 37, Supplement_1 (July 1, 2021): i177—i186. http://dx.doi.org/10.1093/bioinformatics/btab309.
Full textLi, Mulin Jun, Pak Chung Sham, and Junwen Wang. "FastPval: a fast and memory efficient program to calculate very low P-values from empirical distribution." Bioinformatics 26, no. 22 (September 21, 2010): 2897–99. http://dx.doi.org/10.1093/bioinformatics/btq540.
Full textStovner, Endre Bakken, and Pål Sætrom. "epic2 efficiently finds diffuse domains in ChIP-seq data." Bioinformatics 35, no. 21 (March 28, 2019): 4392–93. http://dx.doi.org/10.1093/bioinformatics/btz232.
Full textShi, Christina Huan, and Kevin Y. Yip. "A general near-exact k-mer counting method with low memory consumption enables de novo assembly of 106× human sequence data in 2.7 hours." Bioinformatics 36, Supplement_2 (December 2020): i625—i633. http://dx.doi.org/10.1093/bioinformatics/btaa890.
Full textSchulz, Tizian, Roland Wittler, Sven Rahmann, Faraz Hach, and Jens Stoye. "Detecting high-scoring local alignments in pangenome graphs." Bioinformatics 37, no. 16 (February 3, 2021): 2266–74. http://dx.doi.org/10.1093/bioinformatics/btab077.
Full textShimmura, Keisuke, Yuki Kato, and Yukio Kawahara. "Bivartect: accurate and memory-saving breakpoint detection by direct read comparison." Bioinformatics 36, no. 9 (January 27, 2020): 2725–30. http://dx.doi.org/10.1093/bioinformatics/btaa059.
Full textSaha, Subrata, Jethro Johnson, Soumitra Pal, George M. Weinstock, and Sanguthevar Rajasekaran. "MSC: a metagenomic sequence classification algorithm." Bioinformatics 35, no. 17 (January 14, 2019): 2932–40. http://dx.doi.org/10.1093/bioinformatics/bty1071.
Full textSater, Vincent, Pierre-Julien Viailly, Thierry Lecroq, Élise Prieur-Gaston, Élodie Bohers, Mathieu Viennot, Philippe Ruminy, Hélène Dauchel, Pierre Vera, and Fabrice Jardin. "UMI-VarCal: a new UMI-based variant caller that efficiently improves low-frequency variant detection in paired-end sequencing NGS libraries." Bioinformatics 36, no. 9 (January 27, 2020): 2718–24. http://dx.doi.org/10.1093/bioinformatics/btaa053.
Full textConference papers on the topic "Low-memory bioinformatics"
"De Novo Short Read Assembly Algorithm with Low Memory Usage." In International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004881002150220.
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