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.
108 related articles for article (PubMed ID: 28321364)
1. Effect of method of deduplication on estimation of differential gene expression using RNA-seq. Klepikova AV; Kasianov AS; Chesnokov MS; Lazarevich NL; Penin AA; Logacheva M PeerJ; 2017; 5():e3091. PubMed ID: 28321364 [TBL] [Abstract][Full Text] [Related]
2. Differentially expressed genes from RNA-Seq and functional enrichment results are affected by the choice of single-end versus paired-end reads and stranded versus non-stranded protocols. Corley SM; MacKenzie KL; Beverdam A; Roddam LF; Wilkins MR BMC Genomics; 2017 May; 18(1):399. PubMed ID: 28535780 [TBL] [Abstract][Full Text] [Related]
3. A fuzzy method for RNA-Seq differential expression analysis in presence of multireads. Consiglio A; Mencar C; Grillo G; Marzano F; Caratozzolo MF; Liuni S BMC Bioinformatics; 2016 Nov; 17(Suppl 12):345. PubMed ID: 28185579 [TBL] [Abstract][Full Text] [Related]
4. dupRadar: a Bioconductor package for the assessment of PCR artifacts in RNA-Seq data. Sayols S; Scherzinger D; Klein H BMC Bioinformatics; 2016 Oct; 17(1):428. PubMed ID: 27769170 [TBL] [Abstract][Full Text] [Related]
5. Trimming of sequence reads alters RNA-Seq gene expression estimates. Williams CR; Baccarella A; Parrish JZ; Kim CC BMC Bioinformatics; 2016 Feb; 17():103. PubMed ID: 26911985 [TBL] [Abstract][Full Text] [Related]
6. Gene dispersion is the key determinant of the read count bias in differential expression analysis of RNA-seq data. Yoon S; Nam D BMC Genomics; 2017 May; 18(1):408. PubMed ID: 28545404 [TBL] [Abstract][Full Text] [Related]
7. Differential expression analysis of RNA sequencing data by incorporating non-exonic mapped reads. Chen HI; Liu Y; Zou Y; Lai Z; Sarkar D; Huang Y; Chen Y BMC Genomics; 2015; 16 Suppl 7(Suppl 7):S14. PubMed ID: 26099631 [TBL] [Abstract][Full Text] [Related]
8. Gencore: an efficient tool to generate consensus reads for error suppressing and duplicate removing of NGS data. Chen S; Zhou Y; Chen Y; Huang T; Liao W; Xu Y; Li Z; Gu J BMC Bioinformatics; 2019 Dec; 20(Suppl 23):606. PubMed ID: 31881822 [TBL] [Abstract][Full Text] [Related]
9. Alevin efficiently estimates accurate gene abundances from dscRNA-seq data. Srivastava A; Malik L; Smith T; Sudbery I; Patro R Genome Biol; 2019 Mar; 20(1):65. PubMed ID: 30917859 [TBL] [Abstract][Full Text] [Related]
10. ChimPipe: accurate detection of fusion genes and transcription-induced chimeras from RNA-seq data. Rodríguez-Martín B; Palumbo E; Marco-Sola S; Griebel T; Ribeca P; Alonso G; Rastrojo A; Aguado B; Guigó R; Djebali S BMC Genomics; 2017 Jan; 18(1):7. PubMed ID: 28049418 [TBL] [Abstract][Full Text] [Related]
11. Benchmarking Transcriptome Quantification Methods for Duplicated Genes in Xenopus laevis. Kwon T Cytogenet Genome Res; 2015; 145(3-4):253-64. PubMed ID: 26112470 [TBL] [Abstract][Full Text] [Related]
12. Detection of high variability in gene expression from single-cell RNA-seq profiling. Chen HI; Jin Y; Huang Y; Chen Y BMC Genomics; 2016 Aug; 17 Suppl 7(Suppl 7):508. PubMed ID: 27556924 [TBL] [Abstract][Full Text] [Related]
13. Improving RNA-Seq expression estimation by modeling isoform- and exon-specific read sequencing rate. Liu X; Shi X; Chen C; Zhang L BMC Bioinformatics; 2015 Oct; 16():332. PubMed ID: 26475308 [TBL] [Abstract][Full Text] [Related]
14. Hierarchical analysis of RNA-seq reads improves the accuracy of allele-specific expression. Raghupathy N; Choi K; Vincent MJ; Beane GL; Sheppard KS; Munger SC; Korstanje R; Pardo-Manual de Villena F; Churchill GA Bioinformatics; 2018 Jul; 34(13):2177-2184. PubMed ID: 29444201 [TBL] [Abstract][Full Text] [Related]
15. A high-throughput SNP discovery strategy for RNA-seq data. Zhao Y; Wang K; Wang WL; Yin TT; Dong WQ; Xu CJ BMC Genomics; 2019 Feb; 20(1):160. PubMed ID: 30813897 [TBL] [Abstract][Full Text] [Related]
16. The impact of read length on quantification of differentially expressed genes and splice junction detection. Chhangawala S; Rudy G; Mason CE; Rosenfeld JA Genome Biol; 2015 Jun; 16(1):131. PubMed ID: 26100517 [TBL] [Abstract][Full Text] [Related]
17. scruff: an R/Bioconductor package for preprocessing single-cell RNA-sequencing data. Wang Z; Hu J; Johnson WE; Campbell JD BMC Bioinformatics; 2019 May; 20(1):222. PubMed ID: 31046658 [TBL] [Abstract][Full Text] [Related]
19. Empirical assessment of analysis workflows for differential expression analysis of human samples using RNA-Seq. Williams CR; Baccarella A; Parrish JZ; Kim CC BMC Bioinformatics; 2017 Jan; 18(1):38. PubMed ID: 28095772 [TBL] [Abstract][Full Text] [Related]
20. Single nucleotide polymorphism discovery in bovine liver using RNA-seq technology. Pareek CS; Błaszczyk P; Dziuba P; Czarnik U; Fraser L; Sobiech P; Pierzchała M; Feng Y; Kadarmideen HN; Kumar D PLoS One; 2017; 12(2):e0172687. PubMed ID: 28234981 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]