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Items: 1 to 20 of 208

1.

Genome size and identification of abundant repetitive sequences in Vallisneria spinulosa.

Feng R, Wang X, Tao M, Du G, Wang Q.

PeerJ. 2017 Oct 31;5:e3982. doi: 10.7717/peerj.3982. eCollection 2017.

2.

Modified RNA-seq method for microbial community and diversity analysis using rRNA in different types of environmental samples.

Yan YW, Zou B, Zhu T, Hozzein WN, Quan ZX.

PLoS One. 2017 Oct 10;12(10):e0186161. doi: 10.1371/journal.pone.0186161. eCollection 2017.

3.

Local sequence and sequencing depth dependent accuracy of RNA-seq reads.

Cai G, Liang S, Zheng X, Xiao F.

BMC Bioinformatics. 2017 Aug 9;18(1):364. doi: 10.1186/s12859-017-1780-z.

4.

Comparison of alternative approaches for analysing multi-level RNA-seq data.

Mohorianu I, Bretman A, Smith DT, Fowler EK, Dalmay T, Chapman T.

PLoS One. 2017 Aug 8;12(8):e0182694. doi: 10.1371/journal.pone.0182694. eCollection 2017.

5.

Correcting nucleotide-specific biases in high-throughput sequencing data.

Wang JR, Quach B, Furey TS.

BMC Bioinformatics. 2017 Aug 1;18(1):357. doi: 10.1186/s12859-017-1766-x.

6.

Metabarcoding monitoring analysis: the pros and cons of using co-extracted environmental DNA and RNA data to assess offshore oil production impacts on benthic communities.

Laroche O, Wood SA, Tremblay LA, Lear G, Ellis JI, Pochon X.

PeerJ. 2017 May 17;5:e3347. doi: 10.7717/peerj.3347. eCollection 2017.

7.

Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates.

Tuerk A, Wiktorin G, Güler S.

PLoS Comput Biol. 2017 May 15;13(5):e1005515. doi: 10.1371/journal.pcbi.1005515. eCollection 2017 May.

8.

Transcriptome sequencing and SNP detection in Phoebe chekiangensis.

He B, Li Y, Ni Z, Xu LA.

PeerJ. 2017 May 10;5:e3193. doi: 10.7717/peerj.3193. eCollection 2017.

9.

Oral immune priming with Bacillus thuringiensis induces a shift in the gene expression of Tribolium castaneum larvae.

Greenwood JM, Milutinović B, Peuß R, Behrens S, Esser D, Rosenstiel P, Schulenburg H, Kurtz J.

BMC Genomics. 2017 Apr 26;18(1):329. doi: 10.1186/s12864-017-3705-7.

10.

A computational method for estimating the PCR duplication rate in DNA and RNA-seq experiments.

Bansal V.

BMC Bioinformatics. 2017 Mar 14;18(Suppl 3):43. doi: 10.1186/s12859-017-1471-9.

11.

Transcriptomic profile of leg muscle during early growth in chicken.

Xue Q, Zhang G, Li T, Ling J, Zhang X, Wang J.

PLoS One. 2017 Mar 14;12(3):e0173824. doi: 10.1371/journal.pone.0173824. eCollection 2017.

12.

RNA-Seq analysis of chikungunya virus infection and identification of granzyme A as a major promoter of arthritic inflammation.

Wilson JA, Prow NA, Schroder WA, Ellis JJ, Cumming HE, Gearing LJ, Poo YS, Taylor A, Hertzog PJ, Di Giallonardo F, Hueston L, Le Grand R, Tang B, Le TT, Gardner J, Mahalingam S, Roques P, Bird PI, Suhrbier A.

PLoS Pathog. 2017 Feb 16;13(2):e1006155. doi: 10.1371/journal.ppat.1006155. eCollection 2017 Feb.

13.

Sequence-specific bias correction for RNA-seq data using recurrent neural networks.

Zhang YZ, Yamaguchi R, Imoto S, Miyano S.

BMC Genomics. 2017 Jan 25;18(Suppl 1):1044. doi: 10.1186/s12864-016-3262-5.

14.

Transcriptomic profiling of purified patient-derived dopamine neurons identifies convergent perturbations and therapeutics for Parkinson's disease.

Sandor C, Robertson P, Lang C, Heger A, Booth H, Vowles J, Witty L, Bowden R, Hu M, Cowley SA, Wade-Martins R, Webber C.

Hum Mol Genet. 2017 Feb 1;26(3):552-566. doi: 10.1093/hmg/ddw412.

15.

Deep, Staged Transcriptomic Resources for the Novel Coleopteran Models Atrachya menetriesi and Callosobruchus maculatus.

Benton MA, Kenny NJ, Conrads KH, Roth S, Lynch JA.

PLoS One. 2016 Dec 1;11(12):e0167431. doi: 10.1371/journal.pone.0167431. eCollection 2016.

16.

Modeling Enzyme Processivity Reveals that RNA-Seq Libraries Are Biased in Characteristic and Correctable Ways.

Archer N, Walsh MD, Shahrezaei V, Hebenstreit D.

Cell Syst. 2016 Nov 23;3(5):467-479.e12. doi: 10.1016/j.cels.2016.10.012. Epub 2016 Nov 10.

19.

Cryptophyte farming by symbiotic ciliate host detected in situ.

Qiu D, Huang L, Lin S.

Proc Natl Acad Sci U S A. 2016 Oct 25;113(43):12208-12213. Epub 2016 Oct 10.

20.

Modeling of RNA-seq fragment sequence bias reduces systematic errors in transcript abundance estimation.

Love MI, Hogenesch JB, Irizarry RA.

Nat Biotechnol. 2016 Dec;34(12):1287-1291. doi: 10.1038/nbt.3682. Epub 2016 Sep 26.

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