A CONVOLUTIONAL NEURAL NETWORK-BASED REGRESSION MODEL TO INFER THE EPIGENETIC CROSSTALK RESPONSIBLE FOR CG METHYLATION PATTERNS
Epigenetic modifications, including CG methylation and histone modifications, interact with each other to shape their genomic distribution...
ACCELERATED REGRESSION-BASED SUMMARY STATISTICS FOR DISCRETE STOCHASTIC SYSTEMS VIA APPROXIMATE SIMULATORS
Approximate Bayesian Computation has become a key tool for calibrating the parameters of discrete stochastic biochemical models. For...
PREDICTING ANTIFREEZE PROTEINS WITH WEIGHTED GENERALIZED DIPEPTIDE COMPOSITION AND MULTI-REGRESSION FEATURE SELECTION ENSEMBLE
Antifreeze proteins are a group of proteins that inhibit body fluids from growing to ice crystals and thus improve biological antifreeze...
CASTELO: CLUSTERED ATOM SUBTYPES AIDED LEAD OPTIMIZATION-A COMBINED MACHINE LEARNING AND MOLECULAR MODELING METHOD
Drug discovery is a multi-stage process that comprises two costly major steps: pre-clinical research and clinical trials. Among its...
SVNN: AN EFFICIENT PACBIO-SPECIFIC PIPELINE FOR STRUCTURAL VARIATIONS CALLING USING NEURAL NETWORKS
Once aligned, long-reads can be a useful source of information to identify the type and position of structural variations. However,...
ORFIK: A COMPREHENSIVE R TOOLKIT FOR THE ANALYSIS OF TRANSLATION
With the rapid growth in the use of high-throughput methods for characterizing translation and the continued expansion of multi-omics,...
SIMULATION STUDY AND COMPARATIVE EVALUATION OF VIRAL CONTIGUOUS SEQUENCE IDENTIFICATION TOOLS
Viruses, including bacteriophages, are important components of environmental and human associated microbial communities. Viruses can...
MACHINE LEARNING-BASED PREDICTION OF SURVIVAL PROGNOSIS IN CERVICAL CANCER
Accurately forecasting the prognosis could improve cervical cancer management, however, the currently used clinical features are difficult...
A MACHINE LEARNING FRAMEWORK THAT INTEGRATES MULTI-OMICS DATA PREDICTS CANCER-RELATED LNCRNAS
LncRNAs are a type of non-coding RNA molecule with transcript length longer than 200 nucleotides. LncRNA has been novel candidate biomarkers...
PREDICTION OF UNCONVENTIONAL PROTEIN SECRETION BY EXOSOMES
In eukaryotes, proteins targeted for secretion contain a signal peptide, which allows them to proceed through the conventional ER/Golgi-dependent...
APPLICATION OF CONVOLUTIONAL NEURAL NETWORKS TOWARDS NUCLEI SEGMENTATION IN LOCALIZATION-BASED SUPER-RESOLUTION FLUORESCENCE MICROSCOPY IMAGES
Automated segmentation of nuclei in microscopic images has been conducted to enhance throughput in pathological diagnostics and biological...
IOAT: AN INTERACTIVE TOOL FOR STATISTICAL ANALYSIS OF OMICS DATA AND CLINICAL DATA
With the development of high-throughput sequencing technology, a huge amount of multi-omics data has been accumulated. Although there...
MULTI-LABELLED PROTEINS RECOGNITION FOR HIGH-THROUGHPUT MICROSCOPY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS
Proteins are of extremely vital importance in the human body, and no movement or activity can be performed without proteins. Currently,...
CORRECTION TO: AN INTRODUCTION TO NEW ROBUST LINEAR AND MONOTONIC CORRELATION COEFFICIENTS
An amendment to this paper has been published and can be accessed via the original article.
NUCOME: A COMPREHENSIVE DATABASE OF NUCLEOSOME ORGANIZATION REFERENCED LANDSCAPES IN MAMMALIAN GENOMES
Nucleosome organization is involved in many regulatory activities in various organisms. However, studies integrating nucleosome organization...
CHEMICAL MAP-BASED PREDICTION OF NUCLEOSOME POSITIONING USING THE BIOCONDUCTOR PACKAGE NUCPOS
Assessing the nucleosome-forming potential of specific DNA sequences is important for understanding complex chromatin organization....
INCREASED PEAK DETECTION ACCURACY IN OVER-DISPERSED CHIP-SEQ DATA WITH SUPERVISED SEGMENTATION MODELS
Histone modification constitutes a basic mechanism for the genetic regulation of gene expression. In early 2000s, a powerful technique...
PREDICTING BIOLOGICAL PATHWAYS OF CHEMICAL COMPOUNDS WITH A PROFILE-INSPIRED APPROACH
Assignment of chemical compounds to biological pathways is a crucial step to understand the relationship between the chemical repertory...
NOVEL DEEP LEARNING-BASED TRANSCRIPTOME DATA ANALYSIS FOR DRUG-DRUG INTERACTION PREDICTION WITH AN APPLICATION IN DIABETES
Drug-drug interaction is a serious public health issue. The L1000 database of the LINCS project has collected millions of genome-wide...
CORRECTION TO: EYE‑COLOR AND TYPE‑2 DIABETES PHENOTYPE PREDICTION FROM GENOTYPE DATA USING DEEP LEARNING METHODS
An amendment to this paper has been published and can be accessed via the original article.
World Biotechnology Congress 2019
Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...
World Biotechnology Congress 2019
Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...
2nd International Conference on Tissue Science and Regenerative Medicine
This conference is designed for experts in academia and industries working in the tissue science and regenerative field, this conference will examine cutting-edge research in... Read more ...
Herbivore gut fungi found to produce unique building blocks of antibiotics
For the past several years, chemical engineer Michelle O'Malley has focused her research on the anaerobic fungi found in the guts of herbivores, which make it possible for... Read more ...
Sorrento Receives EUA Approval and Import License From Mexico Authority...
SAN DIEGO, June 24, 2021 - Sorrento Therapeutics, Inc. today announced that following its receipt of EUA approval from COFEPRIS (Comisión Federal para la Protección contra... Read more ...
The Importance of First Impressions on Inspection Day
What are you and your team doing to win on inspection day? Preparation for inspections is an ongoing process. You likely have a lengthy checklist of items that must go... Read more ...
Product Manager - Advin Biotech - Sorrento, CA
Advin Biotech is a growing medical diagnostics company looking for a creative individual with a strong working knowledge of toxicology and related testing...From Advin Biotech... Read more ...
Enhancing the developing brain: tensions between parent, child, and state in...
ABSTRACTRecent technological advances in neuroscience offer a novel way for parents to nurture their children: altering brain activation to improve cognitive functions... Read more ...
Biosero's Tom Gilman Receives CEO of the Year Award
SAN DIEGO--Biosero, Inc., today announced that its founder and CEO Tom Gilman has been named a CEO of the Year by the San Diego Business Journal. Read more ...
Issue Information
Biotechnology Progress, Volume 37, Issue 3, May/June 2021. Read more ...
Determination of Protein Concentration in Downstream Biomanufacturing...
Abstract Protein concentration determination is a necessary in-process control for the downstream operations within biomanufacturing. As production transitions from batch mode... Read more ...
Characterization of Chinese Hamster Ovary Cell Culture Feed Media Precipitate
Abstract Process intensification of monoclonal antibody production is leading to more concentrated feed media causing issues with precipitation of solids from the media... Read more ...
IAmScience Lyndon Coghill
Lyndon Coghill is the new Director of Informatics Research Core, and he is already making big moves at Mizzou. Lyndon Coghill, Director of Informatics Research Core, stands... Read more ...