This is the Team of the Network Science Lab at Harvard Biostatistics, led by Prof. Quackenbush. Here you will find all workflows that are generated by the team or collaborators, in particular those that are used to generate or analyse gene regulatory networks.

Kgerring

The Computational Earth Sciences (CES) group is a multidisciplinary team with different technical profiles that closely relates to all the other groups in the department. CES supports scientists in their daily work and provides a framework for the most efficient use of IT resources, specializing in HPC. At the same time, the group has different research lines related to profiling and optimization and porting Earth modeling codes toward Exascale computing. The group has links and collaborations ...

FAIR data specialists and research software engineers working towards interlinking, harmonization and facilitation of access to geobiodiversity research data.

Early Workflow Design: From Collaborative Scientific Problem-Solving to DAW Specifications.

We will demonstrate the workflows and applications that we developed using LiDAR data.

Research team concerned with Connectome-based Predictive Modeling (CPM).

Non-profit Korean Community of Bioinformatics

Download all genome from https://www.ncbi.nlm.nih.gov/labs/virus/vssi/#/virus?SeqType_s=Nucleotide with filter host:viridiplantae and Refseq on.

This document provides a detailed explanation of all the workflows, including their functionalities, problems they address, advantages, disadvantages, implementation requirements, and open points for future versions.

In the age of high-throughput data, computational workflows have made data processing tasks flexible, manageable, and automated. To administer different computational activities in a workflow, different workflow management systems (WMS) are used that necessitate a sophisticated level of standardisation. Standardisation and reproducibility can be achieved by using standard formats for specifying workflows, such as Common Workflow Language (CWL), and provenance gathering with the standard W3C PROV ...

Poster and presentation video by Ambarish Kumar

This workflow is part of the EJP RD case study on CAKUT published here: Bayjanov, J.R., Doornbos, C., Ozisik, O. et al. Integrative analysis of multi-omics data reveals importance of collagen and the PI3K AKT signalling pathway in CAKUT. Sci Rep 14, 20731 (2024). https://doi.org/10.1038/s41598-024-71721-8

Protein domains can be viewed as building blocks, essential for understanding structure-function relationships in proteins. However, each domain database classifies protein domains using its own methodology. Thus, in many cases, boundaries between different domains or families differ from one domain database to the other, raising the question of domain definition and enumeration. The answer to this question cannot be found in a single database. Rather, expert integration and curation of various ...

REFLOW is a workflow manager tool designed to streamline and automate tasks related to renewable energy potential analyses. It is built with Luigi and provides an automated, robust framework for data acquisition, processing, land/sea eligibility analysis, technology placements, simulations and visualizations. It is build with transparency and reproducibility in mind.

FAIR Statistics Aggregator for DOIs

Table of Contents

1. Introduction
2. Features
3. Requirements
4. Installation
5. Usage
6. Output
7. Limitations
8. License

Introduction

This repository hosts a prototype tool designed to analyze and aggregate FAIR (Findable, Accessible, Interoperable, and Reusable) statistics for a list ...

RDM_system_connector

WARNING

This is a proof of concept, it has not been decided whether it will be developed into a fully functional tool. Feedback is therefore essential, especially as it is unclear whether this type of tool is useful at all, and if so, which parts, as the concept consists of many different parts. (source code readme:

• installation guide and short description
• [sphinx code ...

The workflow starts with selecting KLF4 as the search term. Gene sets with set labels containing KLF4 were queried from Enrichr[1]. Identified matching terms from the ENCODE TF ChIP-seq 2015[2] library were assembled into a collection of gene sets. A GMT was extracted from the Enrichr results for ENCODE_TF_ChIP-seq_2015. Identified matching terms from the ChEA 2022[4] library were assembled into a collection of gene sets. A GMT was extracted from the Enrichr results for ChEA_2022. Identified ...

The workflow starts with selecting Autophagy as the search term. Gene sets with set labels containing Autophagy were queried from Enrichr[1]. Identified matching terms from the MGI Mammalian Phenotype Level 4 2019[2] library were assembled into a collection of gene sets. A GMT was extracted from the Enrichr results for MGI_Mammalian_Phenotype_Level_4_2019. All the identified gene sets were combined using the union set operation. Reversers and mimickers from over 1 million signatures were identified ...

The workflow starts with selecting chr10:g.3823823G>A as the search term. The closest gene to the variant was found using MyVariant.info[1]. RNA-seq-like LINCS L1000 Signatures[3] which mimick or reverse the the expression of KLF6 were visualized. Median expression of KLF6 was obtained from the GTEx Portal[8] using the portal's API. To visualize the scored tissues, a vertical bar plot was created Fig..

1. Lelong, S. et al. BioThings SDK: a toolkit for building high-performance data APIs in ...

Description

The Settlement Delineation and Analysis (SDA) workflows generates a settlement network from geospatial settlement data. It can process geotiff and shapefile inputs and was originally designed to operate on the World Settlement Footprint dataset. Through multiple workflow stages, a settlement network is constructed, contracted (i.e. clustered) and ultimately analysed with centrality measures. The output shapefile stores the ...

Workflow to download and prepare TCGA data.

The workflow divides the process of generating Gene Regulatory networks from TCGA cancer data in three steps:

1. Downloading the raw data from GDC and saving the rds/tables needed later
2. Preparing the data. This step includes filtering the data, normalizing it...
3. Analysis of gene regulatory networks

PVGA is a powerful virus-focused assembler that does both assembly and polishing. For virus genomes, small changes will lead to significant differences in terms of viral function and pathogenicity. Thus, for virus-focused assemblers, high-accuracy results are crucial. Our approach heavily depends on the input reads as evidence to produce the reported genome. It first adopts a reference genome to start with. We then align all the reads against the reference genome to get an alignment graph. After ...

This workflow demonstrates the integration of FAIR principles into the workflow management ecosystem through provenance integration in Autosubmit, a workflow manager developed at the Barcelona Supercomputing Center (BSC), and SUNSET (SUbseasoNal to decadal climate forecast post-processing and aSSEssmenT suite), an R-based verification workflow also developed at BSC.

Autosubmit supports the generation of data provenance information based on RO-Crate, facilitating the creation of machine-actionable ...

This KNIME workflow is designed to facilitate the loading of image data from OMERO. It includes key preprocessing steps for VAST data, such as metadata creation and the linking of Key-Value Pairs.

• Fetching Images: The first step involves fetching images from a locally accessible folder.
• User Authentication: Users are prompted to input their OMERO username and password through a Java snippet. This information is then converted into variables that can be used by the Python script node. ...

Calculate extended gamma-ray source halo using crbeam simulation

Crop Wild Relatives distribution modeling workflow using the ModGP; a prototype Digital Twin from BioDT.

Workflow to perform nuclei cell counting on High Content Screening (HCS) Data and upload result into OMERO

In this workflow, cell images are first uploaded to both Galaxy and OMERO using the “OMERO Image Import” tool. Concurrently, image processing is performed. After thresholding and binarization, key features of nuclei, such as area, label number, and perimeter, are computed from the processed images and saved as a CSV file. The result file is then attached to each image stored in OMERO using ...

General workflow to upload data into OMERO using Galaxy

A dataset for testing can be found at: https://zenodo.org/records/14205500

Important Security Note: It is crucial to be aware that storing credentials as variables can pose security risks, particularly if accessed by administrators. Therefore, it is essential to handle user credentials securely and in accordance with best practices.

General workflow to upload data into OMERO using KNIME

The workflow consists of two main branches: the Green Branch, which imports a folder containing images, and the Purple Branch, which enables the annotation of metadata as key-value pairs.

• Fetching Images: The first step involves fetching images from a locally accessible folder.
• User Authentication: Users are prompted to input their OMERO username and password through a Java snippet. This information is then converted into ...

Point-based Individual Tree Delineation from 3D LiDAR Point Cloud Data.

This module implements a lightweight and easy-to-use Point-based method for individual tree delineation from 3D point cloud data using pure C/C++.

The source code files are included in folder [TreeSeparation], which consists of a project generated from Visual Studio 2015. The CLASS for tree separation is named "FoxTree" and can be found in the respect FoxTree.h and FoxTree.cpp files.

Inupt

The ...

The workflow starts with selecting EH38E2924876 as the search term. Genomic position of provided unique regulatory element identifier was retrieved from CFDE Linked Data Hub[1]. A list of variants in the region of the regulatory element was retrieved from CFDE Linked Data Hub[1]. Variant/variant set associated allele specific epigenomic signatures were retrieved from CFDE LDH[5] based on Roadmap and ENTEx data[6], [4]. GTEx eQTL and sQTL evidence for the given variant(s) were retrieved from CFDE ...

A file containing GEO Aging Signatures was first uploaded. The file containing GEO Aging Signatures was loaded as a gene signature. A file containing GTEx Aging Signatures was first uploaded. The file containing GTEx Aging Signatures was loaded as a gene signature. Significant genes were extracted from the GEO Aging Signatures. Significant genes were extracted from the GTEx Aging Signatures. Reversers and mimickers from over 1 million signatures were identified using SigCom LINCS[1]. Resolved ...

EuCanImage FHIR ETL Implementation

This repository contains the ETL implementation for EuCanImage, encouraging semantic interoperability of the clinical data obtained in the studies by transforming it into a machine-readable format following FHIR standards. This parser uses FHIR Resources in order to create the dictionaries following a FHIR compliant structure.

• Code Language is written in Python 3.11. ...

A set of generic and automatic workflows designed to: 

• Run on-the-fly and unattended.

• Maintain robust stability for a wide range of samples.

• Covers steps from movies to CTF estimation (for the moment).

• Monitor the acquisition process and provide user feedback.

• Comprise three proposed workflows, each with an additional layer of complexity.

Collection of workflows exploring data in the Image Data Resource (IDR).

TronFlow is an open source collection of computational workflows originally conceived for tumor-normal somatic variant calling over whole exome data and the manipulation of BAM and VCF files with the aim of having comparable and analysis-ready data. Over time, we have extended it to germline variant calling, copy numbers and other related technologies and analyses.

Its modular architecture covers different analytical and methodological use cases that allow analysing FASTQ files into analysis-ready ...