Computational considerations in transcriptome assemblies and their evaluation, using high quality human RNA-Seq data. Ghaffari, N., Abante, J., Singh, R., Blood, P., D., & Johnson, C., D. In ACM International Conference Proceeding Series, volume 17-21-July, 2016. Association for Computing Machinery.
Computational considerations in transcriptome assemblies and their evaluation, using high quality human RNA-Seq data [link]Website  doi  abstract   bibtex   1 download  
It is crucial to understand the performance of transcriptome assemblies to improve current practices. Investigating the factors that affect a transcriptome assembly is very important and is the primary goal of our project. To that end, we designed a multi-step pipeline consisting of variety of pre-processing and quality control steps. XSEDE allocations enabled us to achieve the computational demands of the project. The high memory Blacklight and Greenfield systems at Pittsburgh Supercomputing Center were essential to accomplish multiple steps of this project. This paper presents the computational aspects of our comprehensive transcriptome assembly and validation study.
@inproceedings{
 title = {Computational considerations in transcriptome assemblies and their evaluation, using high quality human RNA-Seq data},
 type = {inproceedings},
 year = {2016},
 keywords = {Big data; Information management; RNA,Computational aspects; Computational demands; Cur,Quality control},
 volume = {17-21-July},
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 notes = {cited By 0; Conference of Conference on Diversity, Big Data, and Science at Scale, XSEDE 2016 ; Conference Date: 17 July 2016 Through 21 July 2016; Conference Code:123713},
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 abstract = {It is crucial to understand the performance of transcriptome assemblies to improve current practices. Investigating the factors that affect a transcriptome assembly is very important and is the primary goal of our project. To that end, we designed a multi-step pipeline consisting of variety of pre-processing and quality control steps. XSEDE allocations enabled us to achieve the computational demands of the project. The high memory Blacklight and Greenfield systems at Pittsburgh Supercomputing Center were essential to accomplish multiple steps of this project. This paper presents the computational aspects of our comprehensive transcriptome assembly and validation study.},
 bibtype = {inproceedings},
 author = {Ghaffari, N and Abante, J and Singh, R and Blood, P D and Johnson, C D},
 doi = {10.1145/2949550.2949572},
 booktitle = {ACM International Conference Proceeding Series}
}

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