207 related articles for article (PubMed ID: 26056424)
1. TRUFA: A User-Friendly Web Server for de novo RNA-seq Analysis Using Cluster Computing.
Kornobis E; Cabellos L; Aguilar F; Frías-López C; Rozas J; Marco J; Zardoya R
Evol Bioinform Online; 2015; 11():97-104. PubMed ID: 26056424
[TBL] [Abstract][Full Text] [Related]
2. aTAP: automated transcriptome analysis platform for processing RNA-seq data by
Surachat K; Taylor TD; Wattanamatiphot W; Sukpisit S; Jeenkeawpiam K
Heliyon; 2022 Aug; 8(8):e10255. PubMed ID: 36033257
[TBL] [Abstract][Full Text] [Related]
3. Transcriptator: An Automated Computational Pipeline to Annotate Assembled Reads and Identify Non Coding RNA.
Tripathi KP; Evangelista D; Zuccaro A; Guarracino MR
PLoS One; 2015; 10(11):e0140268. PubMed ID: 26581084
[TBL] [Abstract][Full Text] [Related]
4. RAP: RNA-Seq Analysis Pipeline, a new cloud-based NGS web application.
D'Antonio M; D'Onorio De Meo P; Pallocca M; Picardi E; D'Erchia AM; Calogero RA; Castrignanò T; Pesole G
BMC Genomics; 2015; 16(Suppl 6):S3. PubMed ID: 26046471
[TBL] [Abstract][Full Text] [Related]
5. Single Cell Explorer, collaboration-driven tools to leverage large-scale single cell RNA-seq data.
Feng D; Whitehurst CE; Shan D; Hill JD; Yue YG
BMC Genomics; 2019 Aug; 20(1):676. PubMed ID: 31455220
[TBL] [Abstract][Full Text] [Related]
6. CANEapp: a user-friendly application for automated next generation transcriptomic data analysis.
Velmeshev D; Lally P; Magistri M; Faghihi MA
BMC Genomics; 2016 Jan; 17():49. PubMed ID: 26758513
[TBL] [Abstract][Full Text] [Related]
7. Web-based bioinformatics workflows for end-to-end RNA-seq data computation and analysis in agricultural animal species.
Li W; Richter RA; Jung Y; Zhu Q; Li RW
BMC Genomics; 2016 Sep; 17(1):761. PubMed ID: 27678198
[TBL] [Abstract][Full Text] [Related]
8. transXpress: a Snakemake pipeline for streamlined de novo transcriptome assembly and annotation.
Fallon TR; Čalounová T; Mokrejš M; Weng JK; Pluskal T
BMC Bioinformatics; 2023 Apr; 24(1):133. PubMed ID: 37016291
[TBL] [Abstract][Full Text] [Related]
9. TAP: a targeted clinical genomics pipeline for detecting transcript variants using RNA-seq data.
Chiu R; Nip KM; Chu J; Birol I
BMC Med Genomics; 2018 Sep; 11(1):79. PubMed ID: 30200994
[TBL] [Abstract][Full Text] [Related]
10. Towards next generation CHO cell biology: Bioinformatics methods for RNA-Seq-based expression profiling.
Monger C; Kelly PS; Gallagher C; Clynes M; Barron N; Clarke C
Biotechnol J; 2015 Jul; 10(7):950-66. PubMed ID: 26058739
[TBL] [Abstract][Full Text] [Related]
11. UTAP: User-friendly Transcriptome Analysis Pipeline.
Kohen R; Barlev J; Hornung G; Stelzer G; Feldmesser E; Kogan K; Safran M; Leshkowitz D
BMC Bioinformatics; 2019 Mar; 20(1):154. PubMed ID: 30909881
[TBL] [Abstract][Full Text] [Related]
12. PARRoT- a homology-based strategy to quantify and compare RNA-sequencing from non-model organisms.
Gan RC; Chen TW; Wu TH; Huang PJ; Lee CC; Yeh YM; Chiu CH; Huang HD; Tang P
BMC Bioinformatics; 2016 Dec; 17(Suppl 19):513. PubMed ID: 28155708
[TBL] [Abstract][Full Text] [Related]
13. Read Mapping and Transcript Assembly: A Scalable and High-Throughput Workflow for the Processing and Analysis of Ribonucleic Acid Sequencing Data.
Peri S; Roberts S; Kreko IR; McHan LB; Naron A; Ram A; Murphy RL; Lyons E; Gregory BD; Devisetty UK; Nelson ADL
Front Genet; 2019; 10():1361. PubMed ID: 32038716
[TBL] [Abstract][Full Text] [Related]
14. A survey of the complex transcriptome from the highly polyploid sugarcane genome using full-length isoform sequencing and de novo assembly from short read sequencing.
Hoang NV; Furtado A; Mason PJ; Marquardt A; Kasirajan L; Thirugnanasambandam PP; Botha FC; Henry RJ
BMC Genomics; 2017 May; 18(1):395. PubMed ID: 28532419
[TBL] [Abstract][Full Text] [Related]
15. Designing a transcriptome next-generation sequencing project for a nonmodel plant species.
Strickler SR; Bombarely A; Mueller LA
Am J Bot; 2012 Feb; 99(2):257-66. PubMed ID: 22268224
[TBL] [Abstract][Full Text] [Related]
16. Transcript Profiling Using Long-Read Sequencing Technologies.
Bayega A; Wang YC; Oikonomopoulos S; Djambazian H; Fahiminiya S; Ragoussis J
Methods Mol Biol; 2018; 1783():121-147. PubMed ID: 29767360
[TBL] [Abstract][Full Text] [Related]
17. Comparative performance of transcriptome assembly methods for non-model organisms.
Huang X; Chen XG; Armbruster PA
BMC Genomics; 2016 Jul; 17():523. PubMed ID: 27464550
[TBL] [Abstract][Full Text] [Related]
18. QuickRNASeq lifts large-scale RNA-seq data analyses to the next level of automation and interactive visualization.
Zhao S; Xi L; Quan J; Xi H; Zhang Y; von Schack D; Vincent M; Zhang B
BMC Genomics; 2016 Jan; 17():39. PubMed ID: 26747388
[TBL] [Abstract][Full Text] [Related]
19. An 'eFP-Seq Browser' for visualizing and exploring RNA sequencing data.
Sullivan A; Purohit PK; Freese NH; Pasha A; Esteban E; Waese J; Wu A; Chen M; Chin CY; Song R; Watharkar SR; Chan AP; Krishnakumar V; Vaughn MW; Town C; Loraine AE; Provart NJ
Plant J; 2019 Nov; 100(3):641-654. PubMed ID: 31350781
[TBL] [Abstract][Full Text] [Related]
20. ATGC transcriptomics: a web-based application to integrate, explore and analyze de novo transcriptomic data.
Gonzalez S; Clavijo B; Rivarola M; Moreno P; Fernandez P; Dopazo J; Paniego N
BMC Bioinformatics; 2017 Feb; 18(1):121. PubMed ID: 28222698
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
