An Enumerative Combinatorics Model for Fragmentation Patterns in RNA Sequencing Provides Insights into Nonuniformity of the Expected Fragment Starting-Point and Coverage Profile-Reference-Cited by-同舟云学术

An Enumerative Combinatorics Model for Fragmentation Patterns in RNA Sequencing Provides Insights into Nonuniformity of the Expected Fragment Starting-Point and Coverage Profile

Published:2017-03 Issue:3 Volume:24 Page:200-212
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Prakash Celine¹,Haeseler Arndt Von¹²

Affiliation:

1. Max F. Perutz Laboratories (MFPL), Center for Integrative Bioinformatics Vienna (CIBIV), University of Vienna, Medical University of Vienna, Vienna, Austria.

2. Bioinformatics and Computational Biology, Faculty of Computer Science, University of Vienna, Vienna, Austria.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2016.0096

Reference32 articles.

1. RNA-Seq methods for imperfect samples: development, evaluation and applications

2. The Complete Gene Sequence of Titin, Expression of an Unusual ≈700-kDa Titin Isoform, and Its Interaction With Obscurin Identify a Novel Z-Line to I-Band Linking System

3. Summarizing and correcting the GC content bias in high-throughput sequencing

4. RNA Sequencing: Platform Selection, Experimental Design, and Data Interpretation

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RNA-seq data science: From raw data to effective interpretation;Frontiers in Genetics;2023-03-13

2. RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis;Annual Review of Biomedical Data Science;2019-07-20