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Keywords: bioinformatics
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Articles
Emerg Top Life Sci (2021) ETLS20210213.
Published: 15 November 2021
... 2021 6 10 2021 © 2021 The Author(s) 2021 This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and the Royal Society of Biology and distributed under the Creative Commons Attribution License 4.0 (CC BY-NC-ND) . bioinformatics host...
Articles
Emerg Top Life Sci (2021) 5 (5): 669–674.
Published: 09 August 2021
..., the method used to assess gene expression, and resolution. Since techniques based on next-generation sequencing are the most prevalent, and provide single-cell resolution, many bioinformatics tools for spatially resolved data are shared with single-cell RNA-seq. The analysis pipelines diverge at the level...
Articles
Emerg Top Life Sci (2019) 3 (4): 343–355.
Published: 30 July 2019
... Society and the Royal Society of Biology 2019 bioinformatics cancer competing endogenous RNAs database non-coding RNA RNA sequencing Transcriptomic studies in recent years have shown that most of the mammalian genome is transcribed. Since only 2% of the genome sequence is of protein...
Includes: Supplementary data
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Emerg Top Life Sci (2019) 3 (3): 327–334.
Published: 21 May 2019
.... Correspondence: Soragia Athina Gkazi ( a.s.gkazi@ucl.ac.uk ) 19 2 2019 7 5 2019 8 5 2019 © 2019 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society and the Royal Society of Biology 2019 bioinformatics CRISPR/Cas9 off-target effects on-target...
Articles
Emerg Top Life Sci (2019) 3 (1): 19–37.
Published: 28 January 2019
... BY) . bioinformatics congenital myasthenic syndromes drug therapy neuromuscular diseases systematic review Rare genetic disorders are individually uncommon but collectively frequent, affecting as many as 1 in 17 people [ 1 ]. While most rare diseases do not currently have curative gene-based therapies...
Includes: Supplementary data
Articles
Emerg Top Life Sci (2017) 1 (3): 257–274.
Published: 14 November 2017
... BY) . bioinformatics computational biology deep learning In 2017, it is impossible to avoid the buzz around deep learning. Deep neural networks appear to be a hammer that can crack any nut put in its way, and are thus applied in nearly all areas of research and industry. Originally inspired by models...