https://project.iith.ac.in/sharmaglab/gscholarlens/
Manuscript Link: Authorship-contribution normalized Sh-index and citations are better research output indicators. Preprint at arXiV, 2025
Featured by NATURE Journal: Google Scholar-based tool gives extra credit to first and last authors. https://doi.org/10.1038/d41586-025-03281-4
Featured by The Scientist: https://www.the-scientist.com/gscholarlens-redefines-research-impact-metrics-garners-mixed-reactions-73737
To address several challenges in equitable academic evaluation, we have created GScholarLENS, a freely available browser extension designed to simplify bibliometric analyses. GScholarLENS seamlessly integrates with Google Scholar, enabling researchers to evaluate both primary and subsidiary contributions in publications. Along with providing contribution-specific publication count and citation details for each author profile, the tool introduces a contribution-normalized variant of the h-index, termed the Scholar h-index (Sh-index, Sharma-index), which adjusts citation counts based on authorship roles, assigning proportional weights (e.g., 100% for corresponding authors, 90% for first authors, 50% for second authors, and 10-25% for coauthors based on total number of authors per publication). By computing these normalized metrics, GScholarLENS provides a transparent representation of scholarly contributions, addressing issues in allocating academic credit. The tool also offers h-indices disaggregated by authorship categories and enables systematic analyses of researchers' cumulative impact, fostering discussions around equity and inclusivity in academic recognition.
The extension is still in development, and we will keep adding new features and bug fixes in the upcoming versions. Please try it out in Chrome or Mozilla and give us feedback about its features, usage, bugs, and suggestions. Please don't hesitate to share it with your national and international colleagues for their valuable input. The extension is available for Chrome and Firefox and can be easily downloaded via these links:
Google Chrome Extension link: https://chromewebstore.google.com/detail/gscholarlens/gkdjmplmnhobhaoobcgklnfkoclpebbn
Mozilla Extension link: https://addons.mozilla.org/en-US/firefox/addon/gscholarlens/
https://project.iith.ac.in/sharmaglab/rrnadatabase
Preprint at bioRXiv (Under revision in mSystems). 2025
16S-23S-5S rRNA database is an online database repository of all 16S, 23S, and 5S ribosomal RNA sequences from a curated dataset of ~5000 genomes. All available reference genomes of archeal and bacterial species from NCBI are included in this database.
Complete/chromosome level assemblies from NCBI
Representative genomes from NCBI
~5,000 genomes from 51 diverse phyla
>60,000 rRNA sequences information
Detailed user-friendly information for all 16S, 23S, and 5S rRNAs
Circos plot available for all genomes
Embedded NCBI sequence viewer for each replicon
Identity matrix and sequence alignment for all rRNAs per organism
Predicted secondary structure for each rRNA sequence
https://project.iith.ac.in/sharmaglab/alphafoldextractor/
Manuscript Link: AlphaFold Database Structure Extractor: A web server and API to download AlphaFold structures using common protein accessions. BMC Bioinformatics. 2025.
The AlphaFoldDB Structure Extractor is an open-access web server and API toolkit designed to facilitate the bulk download of predicted protein structures from the AlphaFold Database using well-known accession numbers. Addressing the current limitations in extracting structures beyond a restricted list of model organisms and a threshold number, this tool accepts diverse input identifiers, such as NCBI Taxonomy ID, RefSeq accessions, locus tags, and UniProt or AlphaFold accessions and maps them to UniProt and AlphaFold IDs for structure retrieval. Users can download structure files in PDB, mmCIF, bCIF, or PAE JSON formats. The tool also generates an accompanying ID mapping file to trace input identifiers back to standard accession numbers and reports unmapped IDs separately. An API methodology is also provided for programmatic access, enabling integration into bioinformatics pipelines. AlphaFoldDB Structure Extractor streamlines the structure procurement process from AlphaFold database, empowering researchers in structural and functional genomics with minimal computational expertise.
Manuscript Link: Awaiting
novelBGC is an installation-free, browser-based platform for quantitative prioritization of biosynthetic gene clusters (BGCs). It addresses the growing prediction–validation gap in genome mining by integrating multi-source genomic features into a unified RS/N scoring framework that combines MIBiG similarity, gene cluster family (GCF) distance, AMR proximity, and contig-edge quality. By replacing complex, multi-tool command-line workflows with an intuitive web interface and dynamic visualizations, novelBGC enables experimental researchers to rapidly identify and prioritize genuinely novel biosynthetic loci for downstream validation.
https://project.iith.ac.in/sharmaglab/origenomi/
Manuscript Link:
Origenomi webserver is a browser-based tool designed to improve the accuracy and standardization of circular bacterial genome assemblies. Many assembled bacterial genomes retain redundant sequence at their 5′ and 3′ ends, leading to erroneous gene predictions and inflated copy numbers near contig boundaries. Compounding this issue, the lack of a universally accepted convention for defining the genomic start point hampers comparative and synteny analyses. Origenomi addresses both challenges in a unified framework. It first identifies and removes redundant terminal sequences to generate a truly circular, non-redundant genome. The tool then predicts high-confidence OriC and dnaA loci using sequence similarity searches and evaluates candidate pairs with a biologically informed scoring scheme. The genome is finally reoriented to start at the most plausible OriC–dnaA locus, yielding a standardized assembly optimized for downstream genomic analyses.
https://project.iith.ac.in/sharmaglab/variantis/
Manuscript Link: Awaited
VARiantIS is a user-friendly web interface designed to calculate and visualize transitions and transversions in nucleotide sequences. It enables researchers to upload DNA sequence data, compute substitution statistics, and generate intuitive graphical representations for comparative genomics or molecular evolution studies. Developed for accessibility and precision, Variantis simplifies mutation pattern analysis without requiring advanced programming skills, supporting both educational and research applications.
https://project.iith.ac.in/sharmaglab/csspred/
Manuscript Link: Awaited