These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
482 related articles for article (PubMed ID: 25288881)
1. Review of current methods, applications, and data management for the bioinformatics analysis of whole exome sequencing. Bao R; Huang L; Andrade J; Tan W; Kibbe WA; Jiang H; Feng G Cancer Inform; 2014; 13(Suppl 2):67-82. PubMed ID: 25288881 [TBL] [Abstract][Full Text] [Related]
2. From Wet-Lab to Variations: Concordance and Speed of Bioinformatics Pipelines for Whole Genome and Whole Exome Sequencing. Laurie S; Fernandez-Callejo M; Marco-Sola S; Trotta JR; Camps J; Chacón A; Espinosa A; Gut M; Gut I; Heath S; Beltran S Hum Mutat; 2016 Dec; 37(12):1263-1271. PubMed ID: 27604516 [TBL] [Abstract][Full Text] [Related]
3. Impact of post-alignment processing in variant discovery from whole exome data. Tian S; Yan H; Kalmbach M; Slager SL BMC Bioinformatics; 2016 Oct; 17(1):403. PubMed ID: 27716037 [TBL] [Abstract][Full Text] [Related]
4. Low concordance of multiple variant-calling pipelines: practical implications for exome and genome sequencing. O'Rawe J; Jiang T; Sun G; Wu Y; Wang W; Hu J; Bodily P; Tian L; Hakonarson H; Johnson WE; Wei Z; Wang K; Lyon GJ Genome Med; 2013; 5(3):28. PubMed ID: 23537139 [TBL] [Abstract][Full Text] [Related]
5. Customisation of the exome data analysis pipeline using a combinatorial approach. Pattnaik S; Vaidyanathan S; Pooja DG; Deepak S; Panda B PLoS One; 2012; 7(1):e30080. PubMed ID: 22238694 [TBL] [Abstract][Full Text] [Related]
6. Computational and bioinformatics frameworks for next-generation whole exome and genome sequencing. Dolled-Filhart MP; Lee M; Ou-Yang CW; Haraksingh RR; Lin JC ScientificWorldJournal; 2013; 2013():730210. PubMed ID: 23365548 [TBL] [Abstract][Full Text] [Related]
7. Detailed simulation of cancer exome sequencing data reveals differences and common limitations of variant callers. Hofmann AL; Behr J; Singer J; Kuipers J; Beisel C; Schraml P; Moch H; Beerenwinkel N BMC Bioinformatics; 2017 Jan; 18(1):8. PubMed ID: 28049408 [TBL] [Abstract][Full Text] [Related]
8. Bioinformatics Tools and Databases to Assess the Pathogenicity of Mitochondrial DNA Variants in the Field of Next Generation Sequencing. Bris C; Goudenege D; Desquiret-Dumas V; Charif M; Colin E; Bonneau D; Amati-Bonneau P; Lenaers G; Reynier P; Procaccio V Front Genet; 2018; 9():632. PubMed ID: 30619459 [TBL] [Abstract][Full Text] [Related]
9. Comparison and evaluation of two exome capture kits and sequencing platforms for variant calling. Zhang G; Wang J; Yang J; Li W; Deng Y; Li J; Huang J; Hu S; Zhang B BMC Genomics; 2015 Aug; 16(1):581. PubMed ID: 26242175 [TBL] [Abstract][Full Text] [Related]
10. Validation and assessment of variant calling pipelines for next-generation sequencing. Pirooznia M; Kramer M; Parla J; Goes FS; Potash JB; McCombie WR; Zandi PP Hum Genomics; 2014 Jul; 8(1):14. PubMed ID: 25078893 [TBL] [Abstract][Full Text] [Related]
11. Next generation sequence analysis and computational genomics using graphical pipeline workflows. Torri F; Dinov ID; Zamanyan A; Hobel S; Genco A; Petrosyan P; Clark AP; Liu Z; Eggert P; Pierce J; Knowles JA; Ames J; Kesselman C; Toga AW; Potkin SG; Vawter MP; Macciardi F Genes (Basel); 2012 Aug; 3(3):545-75. PubMed ID: 23139896 [TBL] [Abstract][Full Text] [Related]
12. Accuracy and reproducibility of somatic point mutation calling in clinical-type targeted sequencing data. Karimnezhad A; Palidwor GA; Thavorn K; Stewart DJ; Campbell PA; Lo B; Perkins TJ BMC Med Genomics; 2020 Oct; 13(1):156. PubMed ID: 33059707 [TBL] [Abstract][Full Text] [Related]
13. An integrative variant analysis suite for whole exome next-generation sequencing data. Challis D; Yu J; Evani US; Jackson AR; Paithankar S; Coarfa C; Milosavljevic A; Gibbs RA; Yu F BMC Bioinformatics; 2012 Jan; 13():8. PubMed ID: 22239737 [TBL] [Abstract][Full Text] [Related]
14. CoVaCS: a consensus variant calling system. Chiara M; Gioiosa S; Chillemi G; D'Antonio M; Flati T; Picardi E; Zambelli F; Horner DS; Pesole G; Castrignanò T BMC Genomics; 2018 Feb; 19(1):120. PubMed ID: 29402227 [TBL] [Abstract][Full Text] [Related]
15. Detailed comparison of two popular variant calling packages for exome and targeted exon studies. Warden CD; Adamson AW; Neuhausen SL; Wu X PeerJ; 2014; 2():e600. PubMed ID: 25289185 [TBL] [Abstract][Full Text] [Related]
16. WEP: a high-performance analysis pipeline for whole-exome data. D'Antonio M; D'Onorio De Meo P; Paoletti D; Elmi B; Pallocca M; Sanna N; Picardi E; Pesole G; Castrignanò T BMC Bioinformatics; 2013; 14 Suppl 7(Suppl 7):S11. PubMed ID: 23815231 [TBL] [Abstract][Full Text] [Related]
17. Comparison of insertion/deletion calling algorithms on human next-generation sequencing data. Ghoneim DH; Myers JR; Tuttle E; Paciorkowski AR BMC Res Notes; 2014 Dec; 7():864. PubMed ID: 25435282 [TBL] [Abstract][Full Text] [Related]
18. Discovery of Variants Underlying Host Susceptibility to Virus Infection Using Whole-Exome Sequencing. Leiva-Torres GA; Nebesio N; Vidal SM Methods Mol Biol; 2017; 1656():209-227. PubMed ID: 28808973 [TBL] [Abstract][Full Text] [Related]
20. The role and challenges of exome sequencing in studies of human diseases. Wang Z; Liu X; Yang BZ; Gelernter J Front Genet; 2013 Aug; 4():160. PubMed ID: 24032039 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]