Sridhar Ramachandran

ORCID: 0000-0002-2246-3722
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About
Contact & Profiles
Research Areas
  • Biomedical Text Mining and Ontologies
  • Bioinformatics and Genomic Networks
  • Genetics, Bioinformatics, and Biomedical Research
  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Single-cell and spatial transcriptomics
  • Semantic Web and Ontologies
  • Gene expression and cancer classification
  • Chromosomal and Genetic Variations
  • Genomics and Chromatin Dynamics
  • Zebrafish Biomedical Research Applications
  • IoT-based Smart Home Systems
  • Genomics and Rare Diseases
  • Data Mining Algorithms and Applications
  • CRISPR and Genetic Engineering
  • Advanced Database Systems and Queries
  • Embedded Systems Design Techniques
  • EEG and Brain-Computer Interfaces
  • Computational Drug Discovery Methods
  • Data Quality and Management
  • Video Coding and Compression Technologies
  • Digital Filter Design and Implementation
  • BRCA gene mutations in cancer
  • Manufacturing Process and Optimization
  • VLSI and FPGA Design Techniques

University of Oregon
2012-2025

Ramakrishna Mission Vidyalaya
2015-2023

University of Padua
2023

University College London
2023

SIB Swiss Institute of Bioinformatics
2023

Stanford University
2023

Phoenix Bioinformatics
2023

University at Buffalo, State University of New York
2023

University of Southern California
2023

JSS Medical College and Hospital
2022

Yasushi Okazaki Masaaki Furuno Takeya Kasukawa Jun Adachi Hidemasa Bono and 95 more Shinji Kondo Itoshi Nikaido Naoki Osato Rintaro Saito Harukazu Suzuki Itaru Yamanaka Hidenori Kiyosawa Ken Yagi Yuji Tomaru Yuki Hasegawa A Nogami Christian Schönbach Takashi Gojobori Richard M. Baldarelli David P. Hill Carol J. Bult David Hume John Quackenbush Lynn M. Schriml Alexander Kanapin Hideo Matsuda Serge Batalov Kirk W. Beisel Judith A. Blake Dirck Bradt Vladimir Brusić C. Chothia Lori E Corbani Sharon Cousins Emiliano Dalla Tommaso A. Dragani Colin Fletcher Alistair R. R. Forrest Kenneth S. Frazer Terry Gaasterland Manuela Gariboldi Carmela Gissi Adam Godzik Julian Gough Sean M. Grimmond Stefano Gustincich Nobutaka Hirokawa Ian J. Jackson Erich D. Jarvis Akio Kanai Hideya Kawaji Yuka Imamura Kawasawa Rafal M. Kedzierski Benjamin L. King Akihiko Konagaya Igor V. Kurochkin Yong Suk Lee Boris Lenhard Paul Lyons Donna Maglott Lois J. Maltais Luigi Marchionni Louise M. McKenzie Hiromi Miki Takeshi Nagashima Koji Numata Toshihisa Okido William J. Pavan Geo Pertea Graziano Pesole Nikolai Petrovsky Rekha Sukamar Pillai Joan Pontius Qi Dong Sridhar Ramachandran Timothy Ravasi James Reed Deborah J. Reed James F. Reid Brian Z. Ring Martin Ringwald Albin Sandelin C. Schneider Colin A. Semple Mitsutoshi Setou Kiyo Shimada Răzvan Sultana Yasuhiro Takenaka Martin S. Taylor Rohan D. Teasdale Masaru Tomita Roberto Verardo Lukas Wagner Claes Wahlestedt Yan Wang Yuka Watanabe Christine A. Wells Laurens Wilming Anthony Wynshaw‐Boris Masashi Yanagisawa

Only a small proportion of the mouse genome is transcribed into mature messenger RNA transcripts. There an international collaborative effort to identify all full-length mRNA transcripts from mouse, and ensure that each represented in physical collection clones. Here we report manual annotation 60,770 complementary DNA sequences. These are clustered 33,409 'transcriptional units', contributing 90.1% newly established transcriptome database. Of these transcriptional units, 4,258 new...

10.1038/nature01266 article EN public-domain Nature 2002-12-01

RNAcentral is a comprehensive database of non-coding RNA (ncRNA) sequences that provides single access point to 44 resources and >18 million ncRNA from wide range organisms types. now also includes secondary (2D) structure information for >13 sequences, making the world's largest 2D database. The diagrams are displayed using R2DT, new visualization method uses consistent, reproducible recognizable layouts related RNAs. sequence similarity search has been updated with faster interface...

10.1093/nar/gkaa921 article EN cc-by Nucleic Acids Research 2020-10-05

ZFIN, the Zebrafish Model Organism Database (http://zfin.org), is central resource for zebrafish genetic, genomic, phenotypic and developmental data. ZFIN curators manually curate integrate comprehensive data involving genes, mutants, transgenics, phenotypes, genotypes, gene expressions, morpholinos, antibodies, anatomical structures publications. Integrated views of these data, as well gathered through collaborations exchanges, are provided a wide selection web-based search forms. Among...

10.1093/nar/gks938 article EN cc-by-nc Nucleic Acids Research 2012-10-15

The Zebrafish Information Network (zfin.org) is the central repository for Danio rerio genetic and genomic data. has served zebrafish research community since 1994, expertly curating, integrating, displaying Key data types available at include, but are not limited to, genes, alleles, human disease models, gene expression, phenotype, function. makes Findable, Accessible, Interoperable, Reusable through nomenclature, curatorial annotation activities, web interfaces, downloads. Recently, 6...

10.1093/genetics/iyac016 article EN cc-by-nc-nd Genetics 2022-02-15
Julie Agapite Laurent‐Philippe Albou Suzi Aleksander Micheal Alexander Anna V. Anagnostopoulos and 95 more Giulia Antonazzo Joanna Argasinska Valerio Arnaboldi Helen Attrill Andrés Becerra Susan M. Bello Judith A. Blake Olin Blodgett Yvonne M. Bradford Carol J. Bult Scott Cain Brian R. Calvi Seth Carbon Juancarlos Chan Wen J. Chen J. Michael Cherry Jaehyoung Cho Karen Christie Madeline A. Crosby Paul A. Davis Eduardo da Veiga Beltrame Jeffrey L De Pons Peter D’Eustachio Stavros Diamantakis M. Eileen Dolan Gilberto dos Santos Eric Douglass Barbara Dunn Anne Eagle Dustin Ebert Stacia R. Engel David Fashena Saoirse Foley Ken Frazer Sibyl Gao Adam C Gibson Felix Gondwe Josh Goodman L. Sian Gramates Christian A Grove Paul Hale Todd Harris G. Thomas Hayman David P. Hill Douglas G. Howe Kevin Howe Yanhui Hu Sagar Jha James A. Kadin Thomas C. Kaufman Patrick Kalita Kalpana Karra Ranjana Kishore Anne E. Kwitek Stanley J. F. Laulederkind Raymond Lee Ian Longden Manuel Luypaert Kevin MacPherson Ryan Martin Steven J Marygold Beverley Matthews Monica McAndrews Gillian Millburn Stuart R. Miyasato Howie Motenko Sierra Moxon Hans‐Michael Müller Chris Mungall Anushya Muruganujan Tremayne Mushayahama Harika S Nalabolu Robert S Nash Patrick Ng Paulo Nuin Holly Paddock Michael Paulini Norbert Perrimon Christian Pich Mark Quinton-Tulloch Daniela Raciti Sridhar Ramachandran Joel E. Richardson Susan Russo Gelbart Leyla Ruzicka Kevin Schaper Gary Schindelman Mary Shimoyama Matt Simison David Shaw Ajay Shrivatsav Amy Singer Marek S. Skrzypek Constance M. Smith Cynthia L. Smith

The Alliance of Genome Resources (the Alliance) is a combined effort 7 knowledgebase projects: Saccharomyces Database, WormBase, FlyBase, Mouse the Zebrafish Information Network, Rat and Gene Ontology Resource. seeks to provide several benefits: better service various communities served by these projects; harmonized view data for all biomedical researchers, bioinformaticians, clinicians, students; more sustainable infrastructure. has cross-organism useful comparative views gene function,...

10.1093/genetics/iyac022 article EN cc-by Genetics 2022-02-25
Suzi Aleksander Anna V. Anagnostopoulos Giulia Antonazzo Valerio Arnaboldi Helen Attrill and 95 more Andrés Becerra S Bello Olin Blodgett Yvonne M. Bradford Carol J. Bult Scott Cain Brian R. Calvi Seth Carbon Juancarlos Chan Wen J. Chen J. Michael Cherry Jaehyoung Cho Madeline A. Crosby Jeffrey L De Pons Peter D’Eustachio Stavros Diamantakis M. Eileen Dolan Gilberto dos Santos Sarah Dyer Dustin Ebert Stacia R. Engel David Fashena Malcolm E Fisher Saoirse Foley Adam C Gibson Varun Reddy Gollapally L. Sian Gramates Christian A Grove Paul Hale Todd Harris G. Thomas Hayman Yanhui Hu Christina James‐Zorn Kamran Karimi Kalpana Karra Ranjana Kishore Anne E. Kwitek Stanley J. F. Laulederkind Raymond Lee Ian Longden Manuel Luypaert Nicholas Markarian Steven J Marygold Beverley Matthews Monica McAndrews Gillian Millburn Stuart R. Miyasato Howie Motenko Sierra Moxon Hans‐Michael Müller Chris Mungall Anushya Muruganujan Tremayne Mushayahama Robert S Nash Paulo Nuin Holly Paddock Troy J. Pells Norbert Perrimon Christian Pich Mark Quinton-Tulloch Daniela Raciti Sridhar Ramachandran Joel E. Richardson Susan Russo Gelbart Leyla Ruzicka Gary Schindelman David Shaw Gavin Sherlock Ajay Shrivatsav Amy Singer Constance M. Smith Cynthia L. Smith Jennifer R. Smith Lincoln Stein Paul W. Sternberg Christopher J. Tabone Paul D. Thomas Ketaki Thorat Jyothi Thota Monika Tomczuk Vítor Trovisco Marek Tutaj Jose-Maria Urbano Kimberly Van Auken Ceri E. Van Slyke Peter D. Vize Qinghua Wang Shuai Weng Monte Westerfield Laurens Wilming Edith D. Wong Adam Wright Karen Yook Pinglei Zhou Aaron M. Zorn

Abstract The Alliance of Genome Resources (Alliance) is an extensible coalition knowledgebases focused on the genetics and genomics intensively studied model organisms. organized as individual knowledge centers with strong connections to their research communities a centralized software infrastructure, discussed here. Model organisms currently represented in are budding yeast, Caenorhabditis elegans, Drosophila, zebrafish, frog, laboratory mouse, rat, Gene Ontology Consortium. project rapid...

10.1093/genetics/iyae049 article EN cc-by Genetics 2024-03-29

ZFIN, the Zebrafish Model Organism Database, http://zfin.org , serves as central repository and web-based resource for zebrafish genetic, genomic, phenotypic developmental data. ZFIN manually curates comprehensive data genes, phenotypes, genotypes, gene expression, antibodies, anatomical structures publications. A wide-ranging collection of search forms tools facilitates access to integrated views these promoting analysis scientific discovery. Data represented in are derived from three...

10.1093/nar/gkq1077 article EN cc-by-nc Nucleic Acids Research 2010-10-29

The Zebrafish Information Network (ZFIN, http://zfin.org), the model organism database for zebrafish, provides central location curated zebrafish genetic, genomic and developmental data. Extensive data integration of mutant phenotypes, genes, expression patterns, sequences, genetic markers, morpholinos, map positions, publications community resources facilitates use as a studying gene function, development, behavior disease. Access to ZFIN is provided via web-based query forms through bulk...

10.1093/nar/gkm956 article EN cc-by-nc Nucleic Acids Research 2007-11-09

The Zebrafish Model Organism Database (ZFIN; https://zfin.org) is the central resource for genetic, genomic, and phenotypic data zebrafish (Danio rerio) research. ZFIN continuously assesses trends in research, adding new types providing repositories tools that members of research community can use to navigate data. many advantages flexibility manipulation have made them an increasingly attractive animal model study human disease.To facilitate disease-related developed support provide disease...

10.1093/ilar/ilw040 article EN cc-by-nc ILAR Journal 2016-12-20

The Zebrafish Information Network (ZFIN) (https://zfin.org/) is the database for model organism, zebrafish (Danio rerio). ZFIN expertly curates, organizes and provides a wide array of genetic genomic data, including genes, alleles, transgenic lines, gene expression, function, mutant phenotypes, orthology, human disease models, nomenclature reagents. New features at include increased support regions non-coding more expressive Gene Ontology annotations. has recently taken over maintenance...

10.1093/nar/gky1090 article EN cc-by-nc Nucleic Acids Research 2018-10-26

The Zebrafish Model Organism Database (ZFIN; http://zfin.org) is the central resource for genetic and genomic data from zebrafish (Danio rerio) research. ZFIN staff curate detailed information about genes, mutants, genotypes, reporter lines, sequences, constructs, antibodies, knockdown reagents, expression patterns, phenotypes, gene product function, orthology publications. Researchers can submit mutant, transgenic, expression, phenotype directly to use Community Wiki share antibody protocol...

10.1002/dvg.22868 article EN genesis 2015-06-20

The Zebrafish Model Organism Database (ZFIN; http://zfin.org) is the central resource for zebrafish (Danio rerio) genetic, genomic, phenotypic and developmental data. ZFIN curators provide expert manual curation integration of comprehensive data involving genes, mutants, transgenic constructs lines, phenotypes, genotypes, gene expressions, morpholinos, TALENs, CRISPRs, antibodies, anatomical structures, models human disease publications. We integrate curated, directly submitted,...

10.1093/nar/gkw1116 article EN cc-by-nc Nucleic Acids Research 2016-10-27

Abstract The Zebrafish Information Network (ZFIN, zfin.org) is the database resource for genetic, genomic, and phenotypic data from research using zebrafish, Danio rerio. ZFIN curates information about genetic perturbations, gene expression, phenotype, function, human disease models zebrafish publications makes these available to researchers worldwide. Over past 20 years, have increasingly been used investigate effects of environmental exposures, becoming an ideal model study toxicity,...

10.1093/genetics/iyaf021 article EN cc-by Genetics 2025-02-04

The Zebrafish Information Network (ZFIN) (https://zfin.org/) is the database for model organism, zebrafish (Danio rerio). ZFIN expertly curates, organizes, and provides a wide array of genetic genomic data, including genes, alleles, transgenic lines, gene expression, function, mutant phenotypes, orthology, human disease models, nomenclature, reagents. New features at include major updates to home page page, two most used pages ZFIN. Data mutants function continue be contributed Alliance...

10.1093/nar/gkaa1010 article EN cc-by Nucleic Acids Research 2020-10-14

Danio rerio is a model organism used to investigate vertebrate development. Manipulation of the zebrafish genome and resultant gene products by mutation or targeted knockdown has made good system for investigating function, providing resource genetic contributors phenotype human disease. Phenotypic outcomes can be result mutation, products, manipulation experimental conditions, any combination thereof. Zebrafish have been in various chemical screens identify environmental disease outcomes....

10.1093/genetics/iyad032 article EN cc-by Genetics 2023-03-02

Staphylococcus aureus is a common nosocomial pathogen with property to develop resistance antimicrobial agents. But in the modern era, drug had been developed by microbes due its continuous usage of antibiotics. This study was carried out evaluate antibiotic resistant pattern methicillin (MRSA) using molecular genotyping. In view present problem, has conducted detect genotyping mecA gene from MRSA and confirmation restriction sites EcoRI BamHI. The pus samples were swabbed out, clinical...

10.4103/2231-4040.165019 article EN cc-by-nc-sa Journal of Advanced Pharmaceutical Technology amp Research 2015-01-01

The Mouse Genome Sequencing Consortium and the RIKEN Exploration Research grouphave generated large sets of sequence data representing mouse genome transcriptome, respectively. These provide a valuable foundation for genomic research. challenges informatics community are how to integrate these with ever-expanding knowledge about roles genes gene products in biological processes, useful views scientific community. Public resources, such as National Center Biotechnology Information (NCBI;...

10.1101/gr.991003 article EN cc-by-nc Genome Research 2003-06-01

Abstract The zebrafish model organism database (ZFIN) provides a Web resource of genomic, genetic, developmental, and phenotypic data. ZFIN curates integrates data from current literature direct submissions laboratories. In addition, collaborates with other bioinformatics organizations to provide links relevant These can be accessed through variety Web‐based search display tools. This unit focuses on some the basic methods search, visualize, analyze data, including genes, gene expression,...

10.1002/0471250953.bi0118s31 article EN Current Protocols in Bioinformatics 2010-09-01
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