{"doi":"10.1093/bioinformatics/btad516","title":"Gonomics: uniting high performance and readability for genomics with Go","abstract":"SUMMARY: Many existing software libraries for genomics require researchers to pick between competing considerations: the performance of compiled languages and the accessibility of interpreted languages. Go, a modern compiled language, provides an opportunity to address this conflict. We introduce Gonomics, an open-source collection of command line programs and bioinformatic libraries implemented in Go that unites readability and performance for genomic analyses. Gonomics contains packages to read, write, and manipulate a wide array of file formats (e.g. FASTA, FASTQ, BED, BEDPE, SAM, BAM, and VCF), and can convert and interface between these formats. Furthermore, our modular library structure provides a flexible platform for researchers developing their own software tools to address specific questions. These commands can be combined and incorporated into complex pipelines to meet the growing need for high-performance bioinformatic resources. AVAILABILITY AND IMPLEMENTATION: Gonomics is implemented in the Go programming language. Source code, installation instructions, and documentation are freely available at https://github.com/vertgenlab/gonomics.","journal":"Bioinformatics","year":2023,"id":346589,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9229,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1087430,"name":"Christiana Fauci","orcid":"0000-0002-7458-813X","position":1,"is_corresponding":false},{"id":1087431,"name":"Yanting Luo","orcid":"0000-0003-1227-8512","position":2,"is_corresponding":false},{"id":51325,"name":"Riley J. Mangan","orcid":"0000-0003-3342-3934","position":3,"is_corresponding":false},{"id":965715,"name":"Daniel Snellings","orcid":"0000-0003-0615-9111","position":4,"is_corresponding":false},{"id":1087432,"name":"Chelsea Shoben","orcid":"0000-0002-7947-4959","position":5,"is_corresponding":false},{"id":85739,"name":"Seth Weaver","orcid":"0000-0002-4324-2291","position":6,"is_corresponding":false},{"id":1087990,"name":"Shae K Simpson","orcid":null,"position":7,"is_corresponding":false},{"id":41921,"name":"Craig B. Lowe","orcid":"0000-0002-6838-1976","position":8,"is_corresponding":false},{"id":1087429,"name":"Eric H. Au","orcid":"0000-0001-5889-296X","position":0,"is_corresponding":true}],"reference_count":20,"raw_metadata":null,"created_at":"2026-07-19T01:11:53.085356Z","pmid":"37624924","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}