With　the　continuous　development　of　bioinformatics,　traditionally　biological　sequence　analysis　methods　are　insufficient　to　deal　with　the　increasingly　complex　and　huge　biological　data.　In　the　face　of　this　situation,　deep　learning　has　been　gradually　applied　in　biological　analysis　and　made　a　series　of　progresses,　which　has　become　a　hot　research　topic　in　biological　data　analysis　with　its　advantages　in　processing　high-dimensional　data.　The　current　research　status　was　reviewed　to　better　understand　the　new　development　of　deep　learning　in　the　field　of　bioinformatics　data　analysis.　First,　the　importance　of　applying　deep　learning　were　introduced.　Second,　representative　deep　learning　models　in　the　current　application　fields　was　described.　Then,　the　application　research　status　of　deep　learning　in　this　field　was　analyzed.　Finally,　current　limitations　of　deep　learning　in　the　bioinformatics　field　and　the　factors　that　should　be　considered　in　future　development　were　illustrated　in　this　paper.　©　2022,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.