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Clinical Bioinformatics

Overview of attention for book
Cover of 'Clinical Bioinformatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 From the Phenotype to the Genotype via Bioinformatics
  3. Altmetric Badge
    Chapter 2 Production and Analytic Bioinformatics for Next-Generation DNA Sequencing
  4. Altmetric Badge
    Chapter 3 Analyzing the Metabolome
  5. Altmetric Badge
    Chapter 4 Statistical Perspectives for Genome-Wide Association Studies (GWAS)
  6. Altmetric Badge
    Chapter 5 Bioinformatics Challenges in Genome-Wide Association Studies (GWAS).
  7. Altmetric Badge
    Chapter 6 Studying cancer genomics through next-generation DNA sequencing and bioinformatics.
  8. Altmetric Badge
    Chapter 7 Using Bioinformatics Tools to Study the Role of microRNA in Cancer
  9. Altmetric Badge
    Chapter 8 Chromosome Microarrays in Diagnostic Testing: Interpreting the Genomic Data
  10. Altmetric Badge
    Chapter 9 Bioinformatics Approach to Understanding Interacting Pathways in Neuropsychiatric Disorders
  11. Altmetric Badge
    Chapter 10 Pathogen Genome Bioinformatics
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    Chapter 11 Setting up next-generation sequencing in the medical laboratory.
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    Chapter 12 Managing incidental findings in exome sequencing for research.
  14. Altmetric Badge
    Chapter 13 Approaches for Classifying DNA Variants Found by Sanger Sequencing in a Medical Genetics Laboratory
  15. Altmetric Badge
    Chapter 14 Designing algorithms for determining significance of DNA missense changes.
  16. Altmetric Badge
    Chapter 15 Clinical Bioinformatics
  17. Altmetric Badge
    Chapter 16 Natural language processing in biomedicine: a unified system architecture overview.
  18. Altmetric Badge
    Chapter 17 Candidate gene discovery and prioritization in rare diseases.
  19. Altmetric Badge
    Chapter 18 Computer-Aided Drug Designing
Attention for Chapter 2: Production and Analytic Bioinformatics for Next-Generation DNA Sequencing
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Chapter title
Production and Analytic Bioinformatics for Next-Generation DNA Sequencing
Chapter number 2
Book title
Clinical Bioinformatics
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-0847-9_2
Pubmed ID
Book ISBNs
978-1-4939-0846-2, 978-1-4939-0847-9
Authors

Richard James Nigel Allcock, Allcock, Richard James Nigel

Abstract

The bioinformatics requirements within the clinical environment are very specific, and analytic techniques need to be fit for purpose, robust, and predictable. At the same time, the bewildering amount of information produced during these analyses needs to be carefully managed, used and interpreted correctly. The challenge for clinical laboratories now is to implement production analytical processes that are capable of handling different experimental approaches on current equipment, as well as to incorporate ways for these systems to evolve to take account of developments likely to make impacts in the near future. This is complicated by the many options available at each of the critical processing steps and a clear method needs to be developed to assemble appropriate pipelines. Here, I discuss the issues relevant to the development of an informatics pipeline that meets these criteria that should allow individual laboratories to assess their proposed strategies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 July 2014.
All research outputs
#13,176,295
of 22,756,196 outputs
Outputs from Methods in molecular biology
#3,447
of 13,089 outputs
Outputs of similar age
#160,453
of 305,260 outputs
Outputs of similar age from Methods in molecular biology
#144
of 597 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,089 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 597 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.