The practical bioinformatician / by Wong, Limsoon, 1965-

Broadening the definition of a bioinformatician by David Roy Smith

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Training bioinformaticians in High Performance Computing by Esteban Pérez-Wohlfeil, Oscar Torreno, Louisa J. Bellis, Pedro L. Fernandes, Brane Leskosek, Oswaldo Trelles

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Bioinformaticians: the hidden heroes of the COVID-19 pandemic by Ebony Torrington

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Integration: Gospel for immune bioinformatician on epitope-based therapy by Baozeng Sun, Junqi Zhang, Zhikui Li, Mingyang Xie, Cheng Luo, Yongkai Wang, Longyu Chen, Yueyue Wang, Dongbo Jiang, Dongbo Jiang, Dongbo Jiang, Kun Yang, Kun Yang, Kun Yang

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A Beloved Bioinformatician Buddy—In Memory of Professor Weimin Zhu by Yixue Li

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Corrigendum: Integration: gospel for immune bioinformatician on epitope-based therapy by Baozeng Sun, Junqi Zhang, Zhikui Li, Mingyang Xie, Cheng Luo, Yongkai Wang, Longyu Chen, Yueyue Wang, Dongbo Jiang, Dongbo Jiang, Dongbo Jiang, Kun Yang, Kun Yang, Kun Yang

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P560: Development of an educational forum for clinical bioinformaticians to share best practices by Holly Snyder

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From Hawaii to PECASE award: tips of success from a female bioinformatician by Lana X. Garmire

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TB-BIOINFORMATICS FOR THE NON-BIOINFORMATICIAN: A COMPARISON OF FOUR USER-FRIENDLY DRUG-RESISTANCE PREDICTION PIPELINES by H.F. Zamri, N. Ahmad, I.N. Ruzan

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GalaxyTrakr: a distributed analysis tool for public health whole genome sequence data accessible to non-bioinformaticians by Jayanthi Gangiredla, Hugh Rand, Daniel Benisatto, Justin Payne, Charles Strittmatter, Jimmy Sanders, William J. Wolfgang, Kevin Libuit, James B. Herrick, Melanie Prarat, Magaly Toro, Thomas Farrell, Errol Strain

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A biologist, a statistician and a bioinformatician walk into a conference room… and walk out with a great metagenomics project plan by Ann E Stapleton

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Simulating Taverna workflows using stochastic process algebras. by Curcin, V, Missier, P, Roure, D

“…Taverna workflows, in particular, have been widely accepted in the bioinformatics community, due to their flexible integration with web service analytical tools that are the essential tools of any bioinformatician. However, the semantics of Taverna have so far only been qualified in terms of the functional composition and data processing. …”

The Art of Bioinformatics Learning in Our Arabic World by Alsamman M. Alsamman

“…Moreover, it discusses the key aspects that a bioinformatician needs to be aware of and the basic knowledge that must be gained. …”
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Bioinformatics and Medical Applications : Big Data Using Deep Learning Algorithms / by Suresh, A., editor 651286, Vimal, S., editor 651287, Robinson, Y. Harold, editor 651288, Ramaswami, Dhinesh Kumar, editor 651289, Udendhran, R., editor 651290

“…This book explains the bioinformatician's important tools and examines how they are used to evaluate biological data and advance disease knowledge. …”

Protein structure analysis of mutations causing inheritable diseases. An e-Science approach with life scientist friendly interfaces by Hekkelman Maarten L, Kuipers Remko KP, te Beek Tim AH, Venselaar Hanka, Vriend Gert

“…In all straightforward cases HOPE performed similar to a trained bioinformatician. The use of 3D structures helps optimize the results in terms of reliability and details. …”
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QSRR Automator: A Tool for Automating Retention Time Prediction in Lipidomics and Metabolomics by Bradley C. Naylor, J. Leon Catrow, J. Alan Maschek, James E. Cox

“…Recreating a machine learning model is likewise difficult without a dedicated bioinformatician. Herein we present QSRR Automator, a software package to automate retention time prediction model creation and demonstrate its utility by testing data from multiple chromatography columns from previous publications and in-house work. …”
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Polygenic risk scores in pharmacogenomics: opportunities and challenges—a mini review by Aurélien Simona, Aurélien Simona, Wenyu Song, David W. Bates, David W. Bates, Caroline Flora Samer

“…Besides the need in following reporting guidelines and larger PGx patient cohorts, PRS integration will require close collaboration between bioinformatician, treating physicians and genetic consultants to ensure a transparent, generalizable, and trustful implementation of PRS results in real-world medical decisions.…”
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R/parallel – speeding up bioinformatics analysis with R by Jansen Ritsert C, Vera Gonzalo, Suppi Remo L

“…<p>Abstract</p> <p>Background</p> <p>R is the preferred tool for statistical analysis of many bioinformaticians due in part to the increasing number of freely available analytical methods. …”
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SeqAcademy: an educational pipeline for RNA-Seq and ChIP-Seq analysis [version 4; peer review: 2 approved, 1 not approved] by Syed Hussain Ather, Olaitan Igbagbo Awe, Thomas J. Butler, Tamiru Denka, Stephen Andrew Semick, Wanhu Tang, Ben Busby

“…This work complements existing sophisticated RNA-Seq and ChIP-Seq pipelines designed for advanced users by gently introducing the critical components of RNA-Seq and ChIP-Seq analysis to the novice bioinformatician. In conclusion, this well-documented pipeline will introduce state-of-the-art RNA-Seq and ChIP-Seq analysis tools to beginning bioinformaticians and help facilitate the analysis of the burgeoning amounts of public RNA-Seq and ChIP-Seq data.…”
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