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HoppeSyler Scientific

HoppeSyler Scientific is listed as a small business research supplier in the Scientist.com network, with 3 sites in 1 country.

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Sites 3

Countries 1

Type of company: Small business

Antibodies

Antibody Sequencing Sequence cDNA encoding variable heavy (VH) and variable light (VL) domains of a hybridoma cell line.
Custom Antibodies Design and produce polyclonal and monoclonal antibodies.
Hybridoma Sequencing/Antibody Sequencing Determine the sequences of monoclonal antibodies.

Biomarkers

Biomarker Clinical Utility Evaluate the potential clinical applications of a candidate biomarker.
Biomarker Clinical Validation Evaluate the predictive ability of a candidate biomarker for a disorder.
Epigenetics Epigenetics sits at the cutting edge of drug discovery. The ability to modify genomes without changing any sequences with methylation.
Single Cell Transcriptome Sequencing Detect distinct, rare or abnomal cell types in a heterogenous population.
Whole Transcriptome Amplification Amplify total RNA from a single cell.

Cell Culture and Characterization

Chromosomal Characterization Establish karyotype/chromosome profile by cytogenetic analysis of cell preparation.
Microphysiological Systems/organoid transcriptomics Microphysiological Systems/organoid transcriptomics
Recombinant Technology Manipulate genotypes to introduce or modify the expression of specific cell products or physical traits.
Signaling Pathways Find proteins, assays and custom reagents for the analysis of cell signaling pathways.
Single Cell DNA Sequencing Examine genetic variations in a single cell.
Single Cell Services Request services to perform genomics, transcriptomics, proteomics, metabolomics and cell–cell interactions at the single cell level

Show all 7 in Cell Culture and Characterization 1 more

STR Profiling - Microsatellite Short Tandem Repeat Confirm cell line identity and detect cross-contamination.

Show all 169 services 155 more

Chemical and Compound Analysis

Structural Chemistry Examine the relationship between protein structure and function.

Chemical and Compound Testing

Clinical Pathology Diagnose disease based on the laboratory analysis of bodily fluids, such as blood, urine and tissues.

Clinical Consulting

Biometrics Consulting Apply statistics and mathematics to drug discovery, clinical trials, and data analysis.

Clinical Trials

Site Monitoring Maintain oversight over participant's health during a clinical trial.
Site Selection Select clinical trial sites with clinicians who recruit, enroll, treat and evaluate trial patients.
Statistical Analysis Planning Technical and detailed elaboration of the principal features of the analysis described in the protocol, and includes detailed procedures for executing the statistical analysis of the primary and secondary variables...

Data Science/Bioinformatics

Biostatistical Design Use statistics to ensure appropriate pre-clinical and clinical study design.
Clinical Biomarker Analysis An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
Clinical Companion Diagnostics Analysis The process of finding patients who are likely to respond positively to a drug and designing a diagnostic tool to identify this group of patients before or with a therapy.
Clinical Data Analysis Analysis that helps you make sense of your clinical data
Clinical Data Science and Modeling A process that helps make sense of your clinical data
Clinical Data Warehousing and Interoperability Data warehousing is the process of collecting, storing, and managing large volumes of structured data from different sources to support analysis and decision-making, while interoperability refers to the ability...

Show all 50 in Data Science/Bioinformatics 44 more

Clinical Imaging Diagnostic Analysis An analytical approach to analyzing biological images for diagnostic purposes.
Clinical In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your omics data
Clinical Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects
Clinical Responder Analysis, Patient Stratification The process of identifying patients that are more likely to respond positively to a drug.
Clinical Trial Integration Analysis The process of combining data from multiple clinical trials to understand categories of drugs and drug behavior in a more global way.
Discovery Bioinformatics Different analytical approaches that make, store, and analyze complex biological data.
Discovery Biomarker Analytics An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
Discovery Compound Screening Analytics Screening of an entire compound library directly against the drug target or in a more complex assay.
Discovery Data Analysis Analysis that helps you make sense of your discovery data
Discovery Data Integration The process of combining different complex data types together to make it easier to understand or analyze.
Discovery Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users.
Discovery Data Science and Modeling A process that helps make sense of your discovery data
Discovery Databases Databases specifically designed for drug discovery use.
Discovery Drug Response Simulation Analytics Simulation of how a drug responds in different environments, from molecular to population studies.
Discovery In Silico Drug Dynamics Develop In Silico model of a drug candidate with a biological system with applications such as Pro-drug Predictions, ADME-PK Due Diligence, Brain-Barrier Permeability Simulation, Drug Absorption Simulation, In Silico...
Discovery In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your Genomics/Transcriptomics data
Discovery In Silico Proteome Analysis Used to understand the global protein environment, specifically drug-protein interactions.
Discovery Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
Discovery Omics Analytics A process to analyze various omics data (genomics, transcriptomics, proteomics, metabolomics, etc.) This can include the integration of different omics data. Helps to better understand the molecular environment...
Discovery Predictive Analytics Analytical approaches to predict how a drug target behaves in a given environment.
Discovery Software Tools Software designed to serve the needs of discovery research groups.
Discovery Statistical and Mathematical Modeling Use mathematical variables and equations to establish relationships between data.
FAIR data strategy consulting FAIR data strategy consulting involves guiding organizations to adopt data management practices that ensure their data is Findable, Accessible, Interoperable, and Reusable, thereby enhancing data usability and value.
Graph-Based Patient Journey Analysis Graph-based patient journey analysis is a method of visualizing and analyzing the pathways patients take through healthcare systems using graph structures, enabling insights into patient experiences, care patterns...
iVAX technology Design epitope driven vaccines through a web-based toolkit.
Mechanism of Action 3D Animation Brings the science of molecular biology to life through interactive educational experiences.
Microarray Data Analysis Visualize and analyze microarray data and facilitate data analysis for large experiments.
Microsatellite Analysis for Normal Tumor Instability (MANTIS) Classify samples by MSI status utilizing NGS data.
NLP Processing for Unstructured Clinical Notes NLP processing for unstructured clinical notes involves using natural language processing techniques to extract, analyze, and interpret valuable information from free-text medical records, enabling improved clinical...
Proteome Data Analysis Find tools for analysis of homology and similarity, protein function and structural properties.
RWE/HEOR Data Science and Modeling A process that helps make sense of your clinical data
RWE/HEOR Machine Learning/AI Complex analytical approaches to find patterns and make predictions in RWE/HEOR projects
Translational Bioinformatics Different analytical approaches that make, store, and analyze complex biological data.
Translational Biomarker Discovery An approach to finding markers that change in response to a drug or that identify a group that responds favorably to a specific therapy. These can be omics, molecular, histologic, radiologic, etc.
Translational Data Analysis Analysis that helps you make sense of your translational data
Translational Data Curation Generally, human curation of acquired data to assess the quality and reliability of different data.
Translational Data Harmonization and Integration Process to combine different data together for better understanding and analysis of the integrated data.
Translational Data Knowledge Extraction Analytical approaches to extract data from different sources like publications, databases, etc. 
Translational Data Management A process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data.
Translational Data Science and Modeling A process that helps make sense of your translational data
Translational In Silico Genomics/Transcriptomics Data Analysis A process that helps make sense of your omics data
Translational Machine Learning/AI Complex analytical approaches to find patterns and make predictions in drug discovery projects.
Translational Omics Analytics A process to analyze various omics data (genomics, transcriptomics, proteomics, metabolomics, etc.) This can include the integration of different omics data. Helps to better understand the molecular environment...
Translational Software tools Software designed to serve the needs of translational research groups.

Discovery Chemistry

Discovery Computational Chemistry Model the interaction of a drug candidate with protein targets such as kinases, GPCRs, receptors, ion channels or enzymes.
Virtual Screening Use software algorithms to virtually screen millions of potential compounds and peptides for binding.

DNA & RNA

Amplicon - HLA Typing Use an amplicon sequencing method to identify allelic variation within the HLA genes.
Amplicon 16s rRNA Sequencing Identify and compare bacteria present within a given sample.
Bisulfite Seq DNA Methylation Analysis Determine DNA methylation status at single-base resolution
Bisulfite Sequencing (RRBS) Analyze genome-wide methylation profiles on a single nucleotide level.
ChIP-Sequencing Use chromosome immunoprecipitation to identify DNA-protein binding sites in a genome.
ChIP-sequencing Profiling Identify where a protein is binding to DNA on a genome-wide scale.

Show all 44 in DNA & RNA 38 more

Chromatin Interaction Analysis-Paired End Tag Sequencing Sequence DNA using Chromatin Conformation Capture (3C) together with Chromatin Immunoprecipitation (ChIP).
De Novo Genome Sequencing Determine the DNA sequence of uncharacterized genomes.
De Novo Transcriptome Sequencing Identify new genes without the need for a reference genome sequence.
Degradome Sequencing Use parallel analysis of RNA ends (PARE) to detect miRNA targets and analyze patterns of RNA degradation.
DNA Extraction Extract DNA from an original source.
DNA Hydroxy Methylation Seq Use epigenetic services to analyze genome-wide DNA hydroxymethylation.
DNA Sequencing Determine the nucleotide sequence of DNA samples.
DTG-Seq™ Evaluate the efficiency and distribution of CRISPR mutations at on-target sites.
Exome Sequencing Determine protein-coding nucleotide sequences in a DNA sample.
Genotyping Examine a DNA sequence to identify specific genetic varients .
Linear Based RNA Amplification Perform rapid non-PCR RNA amplificaton.
Long Read Sequencing Long read sequencing is used in genomics to sequence long fragments of DNA, enabling the ability to span complex regions of the genome.
Metagenomic Sequencing Sequence genetic material recovered directly from environmental samples
Methylation Analysis Determine genomic methylation patterns and analyze methylation in tumors and treated samples.
Methylation Specific PCR Determine the methylation status of a CpG site without the need for base-specific endonucleases.
miRNA sequencing Identify miRNAs by Next Generation Sequencing and bioinformatic analysis.
mtDNA Sequencing Use next-generation sequencing (NGS) technology to detect and analyze mitochondrial mutations.
NGS: Next Generation Sequencing Sequence millions of template DNA molecules in parallel.
Non-Bisulfite DNA Methylation Analysis Analyze DNA methylation by methods such as differential enzymatic cleavage or affinity capture
Poly (A) tail Length Profiling (PAL-Seq) Conduct high-throughput sequencing of individual mRNA poly (A) tails.
RNA Profiling Quantify the expression levels of mRNA transcripts, enabling the determination of gene expression patterns.
RNA Sequencing Use Next Generation Sequencing techniques to Identify RNA transcripts, examine differential expression patterns and analyze splice variants.
RNA Sequencing/Resequencing Identify RNA transcripts, examine differential expression patterns and analyze splice variants.
RNAi Pathway Analysis Use high-throughput RNAi genetic screens to elucidate relevant signaling pathways.
RNAseq and DNAseq library preparation and sequencing DNA/RNA sequencing and preparations
Sanger Sequencing Sequence single strand DNA fragments using DNA Polymerase.
Sequence Based Methylation Analysis Detect DNA methylation sites within cytosine-phosphate-guanine (CpG) dinucleotides at single base-pair resolution.
Single Cell ATAC Sequencing Single Cell Assay for Transposase-Accessible Chromatin Sequencing is a genomic technique used to study the accessibility of chromatin at the single-cell level.
Single Cell RNA Sequencing Quantify mRNA variants in a single cell.
Targeted Bisulphite Sequencing Reveal changes in DNA methylation associated with nuclear reprogramming.
Targeted Sequencing/Resequencing Detect variations in a genome subset.
TCR Repertoire Sequencing Analyze the T cell receptor repertoire by means of next-generation sequencing.
Tissue Microarray Screen large numbers of tissues for the presence or absence of specific molecular markers.
Total RNA Sequencing Identify novel RNA transcripts and detect gene expression changes.
Whole Genome Amplification (WGA) Amplify an entire genome from a single cell.
Whole Genome Bisulphite Seq Profile genome-wide DNA methylation.
Whole Genome Profiling Develop sequence-based physical maps for the assembly of genomes.
Whole Genome Sequencing Determine the entire genetic make-up of an organism.

Drug Development

Bioinformatics Consulting Consulting Services for the science of collecting and analyzing complex biological data

General Marketing

Database Management Software Facilitate the collection, tracking and processing of biological facts, statistics and observations.

In Vitro Assays

BrdU S-Phase Analysis Assess cell division or apoptosis by measuring thymidine-analog label incorporation during DNA replication.
Cell Proliferation Measure cell number, cell viability and cell division.
ImmunoSEQ Assay Unmask the identity of millions of T- and B-cell receptors in a single sample using bias-controlled multiplex PCR amplification, high-throughput sequencing, and sophisticated bioinformatics.

In Vitro Pharmacology

High Throughput Screening Conduct millions of chemical, genetic or pharmacological tests in a short period of time.
Methyltransferase Assays Use biochemical, cell-based or in vitro assays to measure methyltransferase activity.

Management Optimization & Development Strategies

Big Data Computational assistance with analysis of large data sets to reveal patterns, trends and associations

Oncology Models

NCG Model Study tumor biology and immuno-oncology in the CRISPR/Cas9-generated immunodeficient mouse model.

Product Orders

Kits and Reagents Submit a request to multiple vendors for kits and reagents.

Protein Sciences

Protein Identification Uncover or confirm the identity of a protein.
Protein Sequencing Determine the amino acid sequence of protein or peptide.
Recombinant Proteins Use recombinant DNA to produce proteins in vivo or in vitro.

Real World Evidence & Data

Real World Evidence (RWE) Studies Studies (prospective or retrospective) utilizing data obtained from "real world settings" , and is outside the tight controls of a clinical trial design.

Safety Pharmacology

Off Target Effects Assess toxicities by body weight, clinical chemistry, hematology, urinalysis and terminal necropsy and pathology.

Scientific Data Services

Bioinformatics Bioinformatics is a powerful method of storing, retrieving and analyzing biological data.
Cancer Systems Biology Convert complex molecular data obtained from high-throughput technologies to deducible information.
Cloud Computing Request on-demand computer resources specifically relating to large data storage and computing power.
Data and Text Mining Derive structured data from free text in order to become accessible for data-mining algorithms.
Data Curation Organize and integrate data collected from various sources to ease data discovery and retrieval.
Data Infrastructure Design and deploy an information management solution suited to users' specific needs.

Show all 36 in Scientific Data Services 30 more

Data Lineage & Quality Track the various processes through which data has been created, edited or exchanged.
Data Quality Framework Manage data quality issues to maintain good quality data outputs.
Database Integration Convert bioinformatics results from multiple data sources (DSs) into a single operational format.
Discovery Computational Systems Biology Model the interaction of biological system with drug candidates.
Epigenomics Data Analysis Quantify and analyze DNA methylation and/or DNA binding protein data sets.
Foundation Model A foundation model is a large-scale AI model trained on extensive datasets, designed to be adaptable for a variety of specific tasks.
Genome Data Analysis Analyze genomic DNA, RNA and protein sequence data.
High-Performance Computing Compute using higher performing parallel processing.
Large Language Models Use of Large Language models in target discovery, clinical trial design and development, analysis of clinical trial data and regulatory submissions. Services are tailored to the problem, specific context of biopharma.
LIM/eLab Notebook Services LIM/eLab Notebook Services
Machine Learning/ AI Predict and model an outcome (e.g. disease progression) based on input variables (i.e. features.)
Marker Analyses Identify associations between genetic markers and traits of interest to determine markers responsible for human diseases.
Metabolomics Data Analysis Use metabolites to identify any potential biomarkers or novel therapeutic targets that may play a role in the mechanisms responsible for the progression of a disease.
Metagenomics Data Analysis Deconvolute the genetic content of genomes contained in environmental samples by utilizing whole genome sequencing techniques to provide insight into microbial communities and host phenotypes.
Microbiome Data Analysis Determine the population composition of a microbial community and analyze its contribution to human or animal health.
Molecular Dynamics Software Run simulations that determine time-dependent behaviors of molecular systems.
Molecular Phylogenetics Analyze hereditary molecular differences in genomic sequences to compare genomes.
Mutation Data Profiling Guide treatment decisions in cancer based on the identification of genomic mutations .
NGS: Next Generation Sequencing Data Analysis Use software to interpret data created by RNA-Seq, DNA-Seq, ChIP-Seq and DNA methylation experiments.
Ontology Mapping Assign given ontologies to source data. 
Pharmaco-genomics Genetic polymorphism contribution to inter-individual variability in drugs' responses and/or adverse events.
Scientific Data Visualization Exploration and reporting of data by means of graphs and plots.
Scientific Pipeline Implementation Design, develop and deploy data analyses workflows.
Small RNA Gene Expression Quantify and analyze miRNA, piRNA, siRNA as well as other small nuclear RNAs from small-RNA-seq raw input data sets.
Software Tools Software tool for statistical analysis, data mining, genome annotation or NGS data analysis.
Strategic RFX Utilize the Scientist.com marketplace to run a strategic RFI/RFP to consolidate orders across different sites with preferred vendors, find new vendors, and leverage to negotiate better pricing.
System Development Plan, create and deploy an information system.
Systems Biomedicine Analyze complex interactions in biological systems with interdisciplinary scientific teams.
Systems Network Analysis Analyze and visualize molecular pathways including gene regulatory, protein-protein and drug-target networks.
T Cell Epitope Mapping Use peptide libraries make it possible to rapidly identify the epitopes of T-Cells, T-Cell clones, T-Helper Cell Clones, T-cell lines, and unpurified T-cells.

Specialty Dosing Routes

Inhalation Toxicology Measure toxicity by daily clinical observation, body weight, clinical chemistry, hematology, and terminal necropsy and pathology.

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