{"id":{"repo_id":"njit","oai_identifier":"oai:digitalcommons.njit.edu:theses-1322"},"canonical_url":"https://search.dev.ndltd.org/etd/njit/oai:digitalcommons.njit.edu:theses-1322","repository":{"repo_id":"njit","name":"NJIT","base_url":"https://digitalcommons.njit.edu/do/oai/"},"display":{"title":"RNA genome annotation with a focus on T. brucei","abstract":"The goal of this project is to identify untranslated regions (UTRs) and UTR-indicating patterns in the genome of T. brucei. T. brucei is an interesting organism, and as the cause of African sleeping sickness -- which infects 300,000-500,000 people and a significant number of cattle annually -- is currently the subject of considerable research. Using existing algorithms, several patterns have been found that may lead to more complete UTR annotations in the T. brucei genome. The most encouraging sequence is the 11-base sequence GAGGGIICG]TGGGG, which appears in five hypothetical genes near the tail. Discovery of several such sequences could guide laboratory experimentation toward more useful results and a better allocation of time and resources.","abstract_html":"The goal of this project is to identify untranslated regions (UTRs) and UTR-indicating patterns in the genome of T. brucei. T. brucei is an interesting organism, and as the cause of African sleeping sickness -- which infects 300,000-500,000 people and a significant number of cattle annually -- is currently the subject of considerable research. Using existing algorithms, several patterns have been found that may lead to more complete UTR annotations in the T. brucei genome. The most encouraging sequence is the 11-base sequence GAGGGIICG]TGGGG, which appears in five hypothetical genes near the tail. Discovery of several such sequences could guide laboratory experimentation toward more useful results and a better allocation of time and resources.","abstract_has_math":false,"creators":["Bucci, Brett"],"institution":null,"degree_name":"Master of Science in Computational Biology - (M.S.)","degree_level":null,"degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Jason T. L. Wang","Andrew Sohn","Dimitri Theodoratos"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2008,"date_issued":"2008-01-27T08:00:00Z","date_published":"2008-01-27T08:00:00Z","updated_at":"2026-07-24T03:23:16Z","subjects":["RNA genome","T. brucei","African sleeping sickness","Biostatistics","Computer Sciences"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.njit.edu/theses/323","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Jason T. L. 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T. brucei is an interesting organism, and as the cause of African sleeping sickness -- which infects 300,000-500,000 people and a significant number of cattle annually -- is currently the subject of considerable research. Using existing algorithms, several patterns have been found that may lead to more complete UTR annotations in the T. brucei genome. The most encouraging sequence is the 11-base sequence GAGGGIICG]TGGGG, which appears in five hypothetical genes near the tail. Discovery of several such sequences could guide laboratory experimentation toward more useful results and a better allocation of time and resources."]},{"key":"dc:title","label":"Title","values":["RNA genome annotation with a focus on T. brucei"]}]}],"canonical_facts":{"dc:contributor":["Jason T. L. Wang","Andrew Sohn","Dimitri Theodoratos"],"dc:creator":["Bucci, Brett"],"dc:description.abstract":["The goal of this project is to identify untranslated regions (UTRs) and UTR-indicating patterns in the genome of T. brucei. T. brucei is an interesting organism, and as the cause of African sleeping sickness -- which infects 300,000-500,000 people and a significant number of cattle annually -- is currently the subject of considerable research. Using existing algorithms, several patterns have been found that may lead to more complete UTR annotations in the T. brucei genome. The most encouraging sequence is the 11-base sequence GAGGGIICG]TGGGG, which appears in five hypothetical genes near the tail. Discovery of several such sequences could guide laboratory experimentation toward more useful results and a better allocation of time and resources."],"dc:identifier":["https://digitalcommons.njit.edu/theses/323"],"dc:subject":["RNA genome","T. brucei","African sleeping sickness","Biostatistics","Computer Sciences"],"dc:title":["RNA genome annotation with a focus on T. brucei"],"dc:type":["Thesis"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_name":["Master of Science in Computational Biology - (M.S.)"]},"updated_at":"2026-07-24T03:23:16Z"}