{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:MYMJGX36L374PSBI5XFRFNPZXS","short_pith_number":"pith:MYMJGX36","schema_version":"1.0","canonical_sha256":"6618935f7e5effc7c828edcb12b5f9bcbb35d1a62721261f804caf745b00da36","source":{"kind":"arxiv","id":"1902.05064","version":1},"attestation_state":"computed","paper":{"title":"PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"q-bio.GN","authors_text":"J. Shuttleworth, J. Yang, M. England, S. Deshpande, S. Taramonli","submitted_at":"2019-02-12T23:16:37Z","abstract_excerpt":"Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs which play a significant role in several biological processes. RNA-seq based transcriptome sequencing has been extensively used for identification of lncRNAs. However, accurate identification of lncRNAs in RNA-seq datasets is crucial for exploring their characteristic functions in the genome as most coding potential computation (CPC) tools fail to accurately identify them in transcriptomic data. Well-known CPC tools such as CPC2, lncScore, CPAT are primarily designed for prediction of lncRNAs based on the GENCODE, NONCODE and CANTAT"},"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":"1902.05064","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.GN","submitted_at":"2019-02-12T23:16:37Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"46de3e9bb5ca442f2c29ea1165d099933f0ec49e6efdd48dde2c15631400ead2","abstract_canon_sha256":"9d613a241c6ac90532a8b7ab60389002de9279372ac3ceb04c207b0e6fc160e3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:01.992130Z","signature_b64":"cjGGZsfsxt+hcJIVT7Os+2z6F6Ev4AeCCnk7EnYqi9gxI5diWkWneO3Rw1rM4RYiaUoagtKBr2dCAeWlSggPBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6618935f7e5effc7c828edcb12b5f9bcbb35d1a62721261f804caf745b00da36","last_reissued_at":"2026-05-17T23:54:01.991588Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:01.991588Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PLIT: An alignment-free computational tool for identification of long non-coding RNAs in plant transcriptomic datasets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"q-bio.GN","authors_text":"J. Shuttleworth, J. Yang, M. England, S. Deshpande, S. Taramonli","submitted_at":"2019-02-12T23:16:37Z","abstract_excerpt":"Long non-coding RNAs (lncRNAs) are a class of non-coding RNAs which play a significant role in several biological processes. RNA-seq based transcriptome sequencing has been extensively used for identification of lncRNAs. However, accurate identification of lncRNAs in RNA-seq datasets is crucial for exploring their characteristic functions in the genome as most coding potential computation (CPC) tools fail to accurately identify them in transcriptomic data. Well-known CPC tools such as CPC2, lncScore, CPAT are primarily designed for prediction of lncRNAs based on the GENCODE, NONCODE and CANTAT"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.05064","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":"1902.05064","created_at":"2026-05-17T23:54:01.991678+00:00"},{"alias_kind":"arxiv_version","alias_value":"1902.05064v1","created_at":"2026-05-17T23:54:01.991678+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.05064","created_at":"2026-05-17T23:54:01.991678+00:00"},{"alias_kind":"pith_short_12","alias_value":"MYMJGX36L374","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_16","alias_value":"MYMJGX36L374PSBI","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_8","alias_value":"MYMJGX36","created_at":"2026-05-18T12:33:24.271573+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/MYMJGX36L374PSBI5XFRFNPZXS","json":"https://pith.science/pith/MYMJGX36L374PSBI5XFRFNPZXS.json","graph_json":"https://pith.science/api/pith-number/MYMJGX36L374PSBI5XFRFNPZXS/graph.json","events_json":"https://pith.science/api/pith-number/MYMJGX36L374PSBI5XFRFNPZXS/events.json","paper":"https://pith.science/paper/MYMJGX36"},"agent_actions":{"view_html":"https://pith.science/pith/MYMJGX36L374PSBI5XFRFNPZXS","download_json":"https://pith.science/pith/MYMJGX36L374PSBI5XFRFNPZXS.json","view_paper":"https://pith.science/paper/MYMJGX36","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1902.05064&json=true","fetch_graph":"https://pith.science/api/pith-number/MYMJGX36L374PSBI5XFRFNPZXS/graph.json","fetch_events":"https://pith.science/api/pith-number/MYMJGX36L374PSBI5XFRFNPZXS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MYMJGX36L374PSBI5XFRFNPZXS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MYMJGX36L374PSBI5XFRFNPZXS/action/storage_attestation","attest_author":"https://pith.science/pith/MYMJGX36L374PSBI5XFRFNPZXS/action/author_attestation","sign_citation":"https://pith.science/pith/MYMJGX36L374PSBI5XFRFNPZXS/action/citation_signature","submit_replication":"https://pith.science/pith/MYMJGX36L374PSBI5XFRFNPZXS/action/replication_record"}},"created_at":"2026-05-17T23:54:01.991678+00:00","updated_at":"2026-05-17T23:54:01.991678+00:00"}