{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:65ZUHVK3COL5PFYW5GVKOJITH7","short_pith_number":"pith:65ZUHVK3","schema_version":"1.0","canonical_sha256":"f77343d55b1397d79716e9aaa725133ffd750ae90d79c2e74bb1d420ca98bc57","source":{"kind":"arxiv","id":"1809.07014","version":1},"attestation_state":"computed","paper":{"title":"Extreme Scale De Novo Metagenome Assembly","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.GN"],"primary_cat":"cs.DC","authors_text":"Andrew Tritt, Aydin Buluc, Bill Arndt, Eugene Goltsman, Evangelos Georganas, Katherine Yelick, Leonid Oliker, Rob Egan, Steven Hofmeyr","submitted_at":"2018-09-19T04:53:39Z","abstract_excerpt":"Metagenome assembly is the process of transforming a set of short, overlapping, and potentially erroneous DNA segments from environmental samples into the accurate representation of the underlying microbiomes's genomes. State-of-the-art tools require big shared memory machines and cannot handle contemporary metagenome datasets that exceed Terabytes in size. In this paper, we introduce the MetaHipMer pipeline, a high-quality and high-performance metagenome assembler that employs an iterative de Bruijn graph approach. MetaHipMer leverages a specialized scaffolding algorithm that produces long sc"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1809.07014","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-09-19T04:53:39Z","cross_cats_sorted":["q-bio.GN"],"title_canon_sha256":"0321a59d1af0341d30fa84c48b7abe73ca75fa90610e3ab721395938e31aaa06","abstract_canon_sha256":"254ad206acc9ac288a4df78ef908e7210663daca33088d56dd803d6d5467754a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:20.915601Z","signature_b64":"XZCEIn0uKtZED2TrJi+lQtG2kZi+uJsW0/5fVpP3l6Ni3JXx39lSJ/B2Bq9dVC50ny415osh4sIPAP7039eCAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f77343d55b1397d79716e9aaa725133ffd750ae90d79c2e74bb1d420ca98bc57","last_reissued_at":"2026-05-18T00:05:20.914972Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:20.914972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Extreme Scale De Novo Metagenome Assembly","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.GN"],"primary_cat":"cs.DC","authors_text":"Andrew Tritt, Aydin Buluc, Bill Arndt, Eugene Goltsman, Evangelos Georganas, Katherine Yelick, Leonid Oliker, Rob Egan, Steven Hofmeyr","submitted_at":"2018-09-19T04:53:39Z","abstract_excerpt":"Metagenome assembly is the process of transforming a set of short, overlapping, and potentially erroneous DNA segments from environmental samples into the accurate representation of the underlying microbiomes's genomes. State-of-the-art tools require big shared memory machines and cannot handle contemporary metagenome datasets that exceed Terabytes in size. In this paper, we introduce the MetaHipMer pipeline, a high-quality and high-performance metagenome assembler that employs an iterative de Bruijn graph approach. MetaHipMer leverages a specialized scaffolding algorithm that produces long sc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.07014","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1809.07014","created_at":"2026-05-18T00:05:20.915045+00:00"},{"alias_kind":"arxiv_version","alias_value":"1809.07014v1","created_at":"2026-05-18T00:05:20.915045+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.07014","created_at":"2026-05-18T00:05:20.915045+00:00"},{"alias_kind":"pith_short_12","alias_value":"65ZUHVK3COL5","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_16","alias_value":"65ZUHVK3COL5PFYW","created_at":"2026-05-18T12:32:08.215937+00:00"},{"alias_kind":"pith_short_8","alias_value":"65ZUHVK3","created_at":"2026-05-18T12:32:08.215937+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/65ZUHVK3COL5PFYW5GVKOJITH7","json":"https://pith.science/pith/65ZUHVK3COL5PFYW5GVKOJITH7.json","graph_json":"https://pith.science/api/pith-number/65ZUHVK3COL5PFYW5GVKOJITH7/graph.json","events_json":"https://pith.science/api/pith-number/65ZUHVK3COL5PFYW5GVKOJITH7/events.json","paper":"https://pith.science/paper/65ZUHVK3"},"agent_actions":{"view_html":"https://pith.science/pith/65ZUHVK3COL5PFYW5GVKOJITH7","download_json":"https://pith.science/pith/65ZUHVK3COL5PFYW5GVKOJITH7.json","view_paper":"https://pith.science/paper/65ZUHVK3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1809.07014&json=true","fetch_graph":"https://pith.science/api/pith-number/65ZUHVK3COL5PFYW5GVKOJITH7/graph.json","fetch_events":"https://pith.science/api/pith-number/65ZUHVK3COL5PFYW5GVKOJITH7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/65ZUHVK3COL5PFYW5GVKOJITH7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/65ZUHVK3COL5PFYW5GVKOJITH7/action/storage_attestation","attest_author":"https://pith.science/pith/65ZUHVK3COL5PFYW5GVKOJITH7/action/author_attestation","sign_citation":"https://pith.science/pith/65ZUHVK3COL5PFYW5GVKOJITH7/action/citation_signature","submit_replication":"https://pith.science/pith/65ZUHVK3COL5PFYW5GVKOJITH7/action/replication_record"}},"created_at":"2026-05-18T00:05:20.915045+00:00","updated_at":"2026-05-18T00:05:20.915045+00:00"}