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Bioinformatics and Drug Discovery

Overview of attention for book
Cover of 'Bioinformatics and Drug Discovery'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Cell Perturbation Screens for Target Identification by RNAi
  3. Altmetric Badge
    Chapter 2 Using Functional Genomics to Identify Drug Targets: A Dupuytren’s Disease Example
  4. Altmetric Badge
    Chapter 3 Functional Characterization of Human Genes from Exon Expression and RNA Interference Results
  5. Altmetric Badge
    Chapter 4 Barcode sequencing for understanding drug-gene interactions.
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    Chapter 5 High-Throughput Sequencing of the Methylome Using Two-Base Encoding
  7. Altmetric Badge
    Chapter 6 Bioinformatics and Drug Discovery
  8. Altmetric Badge
    Chapter 7 Compound Collection Preparation for Virtual Screening
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    Chapter 8 Mapping between databases of compounds and protein targets.
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    Chapter 9 Predictive Cheminformatics in Drug Discovery: Statistical Modeling for Analysis of Micro-array and Gene Expression Data
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    Chapter 10 Advances in Nuclear Magnetic Resonance for Drug Discovery
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    Chapter 11 Human ABC Transporter ABCG2 in Cancer Chemotherapy: Drug Molecular Design to Circumvent Multidrug Resistance
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    Chapter 12 Protein Interactions: Mapping Interactome Networks to Support Drug Target Discovery and Selection
  14. Altmetric Badge
    Chapter 13 Linking Variants from Genome-Wide Association Analysis to Function via Transcriptional Network Analysis
  15. Altmetric Badge
    Chapter 14 Models of Excitation–Contraction Coupling in Cardiac Ventricular Myocytes
  16. Altmetric Badge
    Chapter 15 Integration of Multiple Ubiquitin Signals in Proteasome Regulation
Attention for Chapter 4: Barcode sequencing for understanding drug-gene interactions.
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Chapter title
Barcode sequencing for understanding drug-gene interactions.
Chapter number 4
Book title
Bioinformatics and Drug Discovery
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-965-5_4
Pubmed ID
22821592
Book ISBNs
978-1-61779-964-8, 978-1-61779-965-5
Authors

Andrew M. Smith, Tanja Durbic, Saranya Kittanakom, Guri Giaever, Corey Nislow, Smith, Andrew M., Durbic, Tanja, Kittanakom, Saranya, Giaever, Guri, Nislow, Corey

Abstract

With the advent of next-generation sequencing (NGS) technology, methods previously developed for microarrays have been adapted for use by NGS. Here we describe in detail a protocol for Barcode analysis by sequencing (Bar-seq) to assess pooled competitive growth of individually barcoded yeast deletion mutants. This protocol has been optimized on two sequencing platforms: Illumina's Genome Analyzer IIx/HiSeq2000 and Life Technologies SOLiD3/5500. In addition, we provide guidelines for assessment of human knockdown cells using short-hairpin RNAs (shRNA) and an Illumina sequencing readout.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Ph. D. Student 7 21%
Student > Bachelor 5 15%
Professor 3 9%
Student > Master 3 9%
Other 5 15%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 29%
Biochemistry, Genetics and Molecular Biology 8 24%
Engineering 3 9%
Chemistry 3 9%
Computer Science 2 6%
Other 4 12%
Unknown 4 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 July 2012.
All research outputs
#18,310,549
of 22,671,366 outputs
Outputs from Methods in molecular biology
#7,827
of 13,037 outputs
Outputs of similar age
#195,955
of 244,075 outputs
Outputs of similar age from Methods in molecular biology
#325
of 473 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,037 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 244,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 473 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.

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