Call for Papers

SLAS Discovery

High-Content Imaging and Informatics: Annual Joint Special Issue with SBI2

Proposals accepted until November 30, 2020!

SLAS Disvocery

Submit Proposals Here

SLAS Discovery >Guest Editors Justin Boyd, Ph.D., (Pfizer) and SBI2 President Ann F. Hoffman (GlaxoSmithKline) invite the submission of manuscript proposals (abstracts) on topics from the SBI2 High Content Meeting 2020 and related methods for publication in a 2021 Special Issue. Abstracts will be used to select and invite papers for review and publication consideration.

Dr. Boyd and Ms. Hoffman seek high-quality, short- or full-length research reports, reviews and perspectives related to SBI2 High Content Meeting 2020 keynote presentations, topic presentations, posters and other material. Manuscript proposals (abstracts) are welcome from academia, industry and vendors. Areas of particular interest include, but are not limited to:

  • Review of the colloquium report on AI in HCS/HCA
  • Application/technical notes based on poster presentation research
  • Methods/descriptions supporting AIML analysis of images
  • Perspectives on future imaging technologies and integrated uses of AIML in discovery
  • Commentary on imaging: FxG and Translation Successes to the Patient
    • How do we get there?

For examples of acceptable content and our previous collaboration, see the SLAS Discovery August 2020 issue, A Joint Special Issue with the Society for Biomolecular Imaging and Informatics: High-Content Imaging and Informatics.

Submit your manuscript proposal before October 30, 2020. It should include your name, contact information, affiliation, a working title, and abstract (250-500 words) as an MS Word document.

Invited manuscripts will need to be completed and submitted by January 15, 2021. All submitted papers will be subject to peer-review to ensure scientific rigor, clarity of expression and integration with other contributions in the SLAS Discovery Special Issue. Submissions from SLAS members, nonmembers and especially attendees of the SBI2 High Content Meeting 2020 are welcomed!

Publication note: After submissions are accepted, they typically publish online ahead-of-print within 30 days and become immediately searchable and citable with a DOI.

Questions? Please e-mail cdiedrich@slas.org or call +1.630.256.7527, ext. 106.

 

SLAS Technology

Single-Cell Analysis Technologies for Biomedical Research

Proposals accepted until February 15, 2021!

Submit Proposals here

SLAS Technology

SLAS Technology Guest Editor Lih Feng Cheow, Ph.D., (National University of Singapore) invites the submission of abstracts on single-cell analysis technologies for biomedical research for publication in a 2022 Special Issue. Abstracts will be used to select and invite papers for review and publication consideration.

Dr. Cheow seeks high-quality, short- or full-length research reports, reviews and perspectives related to novel technologies for analyzing different aspects (e.g., genomic, transcriptomic, proteomic, epigenomic, phenotypic) of single cells, and their applications in biomedical research. Manuscript proposals (abstracts) are welcome from academia, industry and vendors. Areas of particular interest include, but are not limited to:

  • Technologies for single cell molecular analysis (e.g., genomic, transcriptomic, epigenomic, proteomic, metabolomics)
  • Technologies for single cell functional analysis (e.g., cell-cell interactions, enzymatic activities)
  • Physical measurements of single cells (e.g., mechanical, electrical properties)
  • Technologies for sorting single cells (e.g., optical, electrical, acoustics)
  • Integrated platforms for single cell processing (e.g., cell isolation, manipulation, microwell and droplet devices for single cell assays)
  • Single-cell screening platforms (e.g., drug screening, CRISPR, antibody secretion)
  • Non-mammalian cells (e.g., plant, bacteria)
  • Applications of single cell analysis (e.g., understanding about disease, diagnostics)

Submit your manuscript proposal before February 15, 2021. Proposals should include your name, contact information, affiliation, a working title and abstract (250-500 words) as an MS Word document.

Invited manuscripts will need to be completed and submitted by June 14, 2021. All submitted papers will be subject to peer-review to ensure scientific rigor, clarity of expression and integration with other contributions in the SLAS Technology Special Issue.

Publication note: After submissions are accepted, they typically publish online ahead-of-print within 30 days and become immediately searchable and citable with a DOI.

Questions? Please e-mail cdiedrich@slas.org or call +1.630.256.7527, ext. 106.

 

Fuzzy Systems in Bioinformatics and Computational Biology

Proposals now accepted until December 1, 2020

Submit Proposals here

SLAS Technology

SLAS Technology Guest Editors Oscar Sanjuán Martínez, Ph.D., (International University of La Rioja, Spain), Giuseppe Fenza, Ph.D., (University of Salerno, Italy) and Ruben Gonzalez Crespo, Ph.D. (International University of La Rioja, Spain) invite the submission of abstracts for publication in a 2021 special issue. Abstracts will be used to select and invite papers for review and publication consideration.

Drs. Martínez, Fenza, Crespo seek high-quality, short- or full-length research reports, reviews and perspectives related to fuzzy systems in bioinformatics and computational biology. These mathematical systems take analog values as input and analyze the input values as logical entities, which take continuous values between 0 and 1. Unlike digital logic, which is discrete, fuzzy logic is continuous in nature. In other words, no logic exists to detect absolute truth and absolute false values. A fuzzy system works successfully even with noisy and distorted data. Fuzzy systems are predominantly deployed to provide precise solutions to complex problems that involve automatic decision-making capabilities.

Bioinformatics solutions use computational algorithms to model and analyze biological processes at the molecular level, while computational biology studies biological systems experimentally using computational models. Fuzzy systems empower bioinformatics and computational biology-based applications, such as gene expression analysis, cellular reconstruction, medical image processing, protein structure analysis and medical data classification.

Though fuzzy systems provide reliable solutions to biologically-inspired problems, three complexities exist: (1) there is no systematic manner to explain the solution to a problem; (2) there are difficulties with showing and mathematically supporting proofs; and (3) use of inconsistent data leads to potentially inconsistent results.

Manuscript proposals (abstracts) are welcome from academia, industry and vendors. Areas of particular interest include, but are not limited to, fuzzy systems for the following:

  • Gene sequence and expression analysis
  • Protein structure prediction and 3D structure analysis
  • DNA and protein cell function analysis
  • Modeling of biological networks
  • Gene regulatory network analysis
  • Graphical modeling for biological systems
  • Cancer computational biology
  • Computational neuropsychiatry
  • Computational neuroscience
  • Computational genetics and behavioral study
  • Patient monitoring
  • Organ functionality study and analysis
  • Brain model development
  • Mathematical modeling for biological problem statements

Submit your manuscript proposal before September 1, 2020. Proposals should include your name, contact information, affiliation, a working title and abstract (250-500 words) as an MS Word document.

Invited manuscripts will need to be completed and submitted by March 1, 2021.

All submitted papers will be subject to peer-review to ensure scientific rigor, clarity of expression and integration with other contributions in the SLAS Technology Special Issue.

Publication note: After submissions are accepted, they typically publish online ahead-of-print within 30 days and become immediately searchable and citable with a DOI.

Questions? Please e-mail cdiedrich@slas.org or call +1.630.256.7527, ext. 106.